Upload 10 files
Browse files- adapter_config.json +35 -0
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +83 -0
- trainer_state.json +1896 -0
- training_args.bin +3 -0
adapter_config.json
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "codellama/CodeLlama-13b-hf",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 64,
|
| 14 |
+
"lora_dropout": 0.1,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 64,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"down_proj",
|
| 24 |
+
"lm_head",
|
| 25 |
+
"gate_proj",
|
| 26 |
+
"up_proj",
|
| 27 |
+
"v_proj",
|
| 28 |
+
"k_proj",
|
| 29 |
+
"o_proj",
|
| 30 |
+
"q_proj"
|
| 31 |
+
],
|
| 32 |
+
"task_type": "CAUSAL_LM",
|
| 33 |
+
"use_dora": false,
|
| 34 |
+
"use_rslora": false
|
| 35 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fad3c8732089dcd33062338e0b6d78ce74f24692fac03b618d7c972fa62cfbe6
|
| 3 |
+
size 1666661528
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4485e42baf8260ce42f0d480960bfd3285599085225255d44d83c95c0f7983ca
|
| 3 |
+
size 507119330
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:78c83751daca728ad21a012d36704c7aeb28386438841a920284a44c63eac896
|
| 3 |
+
size 14244
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c2cde3b3c20185dfe2b7fa07fa92f4d1d62acfc688a2c2d93cdf136003725a90
|
| 3 |
+
size 1064
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"▁<PRE>",
|
| 4 |
+
"▁<MID>",
|
| 5 |
+
"▁<SUF>",
|
| 6 |
+
"▁<EOT>"
|
| 7 |
+
],
|
| 8 |
+
"bos_token": {
|
| 9 |
+
"content": "<s>",
|
| 10 |
+
"lstrip": false,
|
| 11 |
+
"normalized": false,
|
| 12 |
+
"rstrip": false,
|
| 13 |
+
"single_word": false
|
| 14 |
+
},
|
| 15 |
+
"eos_token": {
|
| 16 |
+
"content": "</s>",
|
| 17 |
+
"lstrip": false,
|
| 18 |
+
"normalized": false,
|
| 19 |
+
"rstrip": false,
|
| 20 |
+
"single_word": false
|
| 21 |
+
},
|
| 22 |
+
"pad_token": "</s>",
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"content": "<unk>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,83 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"0": {
|
| 6 |
+
"content": "<unk>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"1": {
|
| 14 |
+
"content": "<s>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"2": {
|
| 22 |
+
"content": "</s>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"32007": {
|
| 30 |
+
"content": "▁<PRE>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"32008": {
|
| 38 |
+
"content": "▁<SUF>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"32009": {
|
| 46 |
+
"content": "▁<MID>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"32010": {
|
| 54 |
+
"content": "▁<EOT>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
}
|
| 61 |
+
},
|
| 62 |
+
"additional_special_tokens": [
|
| 63 |
+
"▁<PRE>",
|
| 64 |
+
"▁<MID>",
|
| 65 |
+
"▁<SUF>",
|
| 66 |
+
"▁<EOT>"
|
| 67 |
+
],
|
| 68 |
+
"bos_token": "<s>",
|
| 69 |
+
"clean_up_tokenization_spaces": false,
|
| 70 |
+
"eos_token": "</s>",
|
| 71 |
+
"eot_token": "▁<EOT>",
|
| 72 |
+
"fill_token": "<FILL_ME>",
|
| 73 |
+
"legacy": null,
|
| 74 |
+
"middle_token": "▁<MID>",
|
| 75 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 76 |
+
"pad_token": "</s>",
|
| 77 |
+
"prefix_token": "▁<PRE>",
|
| 78 |
+
"sp_model_kwargs": {},
|
| 79 |
+
"suffix_token": "▁<SUF>",
|
| 80 |
+
"tokenizer_class": "CodeLlamaTokenizer",
|
| 81 |
+
"unk_token": "<unk>",
|
| 82 |
+
"use_default_system_prompt": false
|
| 83 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1896 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.9999059177721329,
|
| 5 |
+
"eval_steps": 20,
|
| 6 |
+
"global_step": 5314,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0037632891146862357,
|
| 13 |
+
"grad_norm": 0.15685315430164337,
|
| 14 |
+
"learning_rate": 0.0002,
|
| 15 |
+
"loss": 0.4618,
|
| 16 |
+
"step": 20
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.0075265782293724715,
|
| 20 |
+
"grad_norm": 0.10632659494876862,
|
| 21 |
+
"learning_rate": 0.0002,
|
| 22 |
+
"loss": 0.2985,
|
| 23 |
+
"step": 40
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.011289867344058707,
|
| 27 |
+
"grad_norm": 0.12228264659643173,
|
| 28 |
+
"learning_rate": 0.0002,
|
| 29 |
+
"loss": 0.2689,
|
| 30 |
+
"step": 60
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.015053156458744943,
|
| 34 |
+
"grad_norm": 0.09272768348455429,
|
| 35 |
+
"learning_rate": 0.0002,
|
| 36 |
+
"loss": 0.2249,
|
| 37 |
+
"step": 80
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.01881644557343118,
|
| 41 |
+
"grad_norm": 0.11586301028728485,
|
| 42 |
+
"learning_rate": 0.0002,
|
| 43 |
+
"loss": 0.23,
|
| 44 |
+
"step": 100
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.022579734688117414,
|
| 48 |
+
"grad_norm": 0.08657937496900558,
|
| 49 |
+
"learning_rate": 0.0002,
|
| 50 |
+
"loss": 0.2189,
|
| 51 |
+
"step": 120
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.02634302380280365,
|
| 55 |
+
"grad_norm": 0.08374184370040894,
|
| 56 |
+
"learning_rate": 0.0002,
|
| 57 |
+
"loss": 0.1987,
|
| 58 |
+
"step": 140
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.030106312917489886,
|
| 62 |
+
"grad_norm": 0.08528616279363632,
|
| 63 |
+
"learning_rate": 0.0002,
|
| 64 |
+
"loss": 0.2065,
|
| 65 |
+
"step": 160
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.03386960203217612,
|
| 69 |
+
"grad_norm": 0.17550894618034363,
|
| 70 |
+
"learning_rate": 0.0002,
|
| 71 |
+
"loss": 0.1904,
|
| 72 |
+
"step": 180
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.03763289114686236,
|
| 76 |
+
"grad_norm": 0.09562012553215027,
|
| 77 |
+
"learning_rate": 0.0002,
|
| 78 |
+
"loss": 0.1824,
|
| 79 |
+
"step": 200
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.04139618026154859,
|
| 83 |
+
"grad_norm": 0.12333519756793976,
|
| 84 |
+
"learning_rate": 0.0002,
|
| 85 |
+
"loss": 0.1702,
|
| 86 |
+
"step": 220
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.04515946937623483,
|
| 90 |
+
"grad_norm": 0.11404936760663986,
|
| 91 |
+
"learning_rate": 0.0002,
|
| 92 |
+
"loss": 0.18,
|
| 93 |
+
"step": 240
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.048922758490921064,
|
| 97 |
+
"grad_norm": 0.08656694740056992,
|
| 98 |
+
"learning_rate": 0.0002,
|
| 99 |
+
"loss": 0.1749,
|
| 100 |
+
"step": 260
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.0526860476056073,
|
| 104 |
+
"grad_norm": 0.09797225147485733,
|
| 105 |
+
"learning_rate": 0.0002,
|
| 106 |
+
"loss": 0.1731,
|
| 107 |
+
"step": 280
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.056449336720293536,
|
| 111 |
+
"grad_norm": 0.09765412658452988,
|
| 112 |
+
"learning_rate": 0.0002,
|
| 113 |
+
"loss": 0.1578,
|
| 114 |
+
"step": 300
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.06021262583497977,
|
| 118 |
+
"grad_norm": 0.07540671527385712,
|
| 119 |
+
"learning_rate": 0.0002,
|
| 120 |
+
"loss": 0.1693,
|
| 121 |
+
"step": 320
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.06397591494966601,
|
| 125 |
+
"grad_norm": 0.08590289205312729,
|
| 126 |
+
"learning_rate": 0.0002,
|
| 127 |
+
"loss": 0.1607,
|
| 128 |
+
"step": 340
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.06773920406435224,
|
| 132 |
+
"grad_norm": 0.09767664223909378,
|
| 133 |
+
"learning_rate": 0.0002,
|
| 134 |
+
"loss": 0.1419,
|
| 135 |
+
"step": 360
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.07150249317903848,
|
| 139 |
+
"grad_norm": 0.10479151457548141,
|
| 140 |
+
"learning_rate": 0.0002,
|
| 141 |
+
"loss": 0.1629,
|
| 142 |
+
"step": 380
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.07526578229372471,
|
| 146 |
+
"grad_norm": 0.08791118115186691,
|
| 147 |
+
"learning_rate": 0.0002,
|
| 148 |
+
"loss": 0.1484,
|
| 149 |
+
"step": 400
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.07902907140841095,
|
| 153 |
+
"grad_norm": 0.10221686214208603,
|
| 154 |
+
"learning_rate": 0.0002,
|
| 155 |
+
"loss": 0.1499,
|
| 156 |
+
"step": 420
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.08279236052309719,
|
| 160 |
+
"grad_norm": 0.09131903946399689,
|
| 161 |
+
"learning_rate": 0.0002,
|
| 162 |
+
"loss": 0.1485,
|
| 163 |
+
"step": 440
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.08655564963778342,
|
| 167 |
+
"grad_norm": 0.10372031480073929,
|
| 168 |
+
"learning_rate": 0.0002,
|
| 169 |
+
"loss": 0.1441,
|
| 170 |
+
"step": 460
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.09031893875246966,
|
| 174 |
+
"grad_norm": 0.09649350494146347,
|
| 175 |
+
"learning_rate": 0.0002,
|
| 176 |
+
"loss": 0.147,
|
| 177 |
+
"step": 480
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.0940822278671559,
|
| 181 |
+
"grad_norm": 0.09961670637130737,
|
| 182 |
+
"learning_rate": 0.0002,
|
| 183 |
+
"loss": 0.1465,
|
| 184 |
+
"step": 500
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.09784551698184213,
|
| 188 |
+
"grad_norm": 0.08490657806396484,
|
| 189 |
+
"learning_rate": 0.0002,
|
| 190 |
+
"loss": 0.132,
|
| 191 |
+
"step": 520
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.10160880609652836,
|
| 195 |
+
"grad_norm": 0.08765380829572678,
|
| 196 |
+
"learning_rate": 0.0002,
|
| 197 |
+
"loss": 0.1283,
|
| 198 |
+
"step": 540
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.1053720952112146,
|
| 202 |
+
"grad_norm": 0.09319768846035004,
|
| 203 |
+
"learning_rate": 0.0002,
|
| 204 |
+
"loss": 0.1382,
|
| 205 |
+
"step": 560
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.10913538432590084,
|
| 209 |
+
"grad_norm": 0.08941628783941269,
|
| 210 |
+
"learning_rate": 0.0002,
|
| 211 |
+
"loss": 0.1335,
|
| 212 |
+
"step": 580
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.11289867344058707,
|
| 216 |
+
"grad_norm": 0.0971933901309967,
|
| 217 |
+
"learning_rate": 0.0002,
|
| 218 |
+
"loss": 0.137,
|
| 219 |
+
"step": 600
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.11666196255527331,
|
| 223 |
+
"grad_norm": 0.07488075643777847,
|
| 224 |
+
"learning_rate": 0.0002,
|
| 225 |
+
"loss": 0.1283,
|
| 226 |
+
"step": 620
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.12042525166995954,
|
| 230 |
+
"grad_norm": 0.08711710572242737,
|
| 231 |
+
"learning_rate": 0.0002,
|
| 232 |
+
"loss": 0.1292,
|
| 233 |
+
"step": 640
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.12418854078464578,
|
| 237 |
+
"grad_norm": 0.08043856918811798,
|
| 238 |
+
"learning_rate": 0.0002,
|
| 239 |
+
"loss": 0.1269,
|
| 240 |
+
"step": 660
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.12795182989933201,
|
| 244 |
+
"grad_norm": 0.07097792625427246,
|
| 245 |
+
"learning_rate": 0.0002,
|
| 246 |
+
"loss": 0.1364,
|
| 247 |
+
"step": 680
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.13171511901401825,
|
| 251 |
+
"grad_norm": 0.0742156058549881,
|
| 252 |
+
"learning_rate": 0.0002,
|
| 253 |
+
"loss": 0.1277,
|
| 254 |
+
"step": 700
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.1354784081287045,
|
| 258 |
+
"grad_norm": 0.09956187009811401,
|
| 259 |
+
"learning_rate": 0.0002,
|
| 260 |
+
"loss": 0.1314,
|
| 261 |
+
"step": 720
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.13924169724339072,
|
| 265 |
+
"grad_norm": 0.08661571145057678,
|
| 266 |
+
"learning_rate": 0.0002,
|
| 267 |
+
"loss": 0.124,
|
| 268 |
+
"step": 740
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.14300498635807696,
|
| 272 |
+
"grad_norm": 0.08070897310972214,
|
| 273 |
+
"learning_rate": 0.0002,
|
| 274 |
+
"loss": 0.1147,
|
| 275 |
+
"step": 760
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.1467682754727632,
|
| 279 |
+
"grad_norm": 0.09516704082489014,
|
| 280 |
+
"learning_rate": 0.0002,
|
| 281 |
+
"loss": 0.1168,
|
| 282 |
+
"step": 780
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.15053156458744943,
|
| 286 |
+
"grad_norm": 0.09076276421546936,
|
| 287 |
+
"learning_rate": 0.0002,
|
| 288 |
+
"loss": 0.1178,
|
| 289 |
+
"step": 800
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.15429485370213566,
|
| 293 |
+
"grad_norm": 0.0896017774939537,
|
| 294 |
+
"learning_rate": 0.0002,
|
| 295 |
+
"loss": 0.1192,
|
| 296 |
+
"step": 820
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.1580581428168219,
|
| 300 |
+
"grad_norm": 0.07477965205907822,
|
| 301 |
+
"learning_rate": 0.0002,
|
| 302 |
+
"loss": 0.1127,
|
| 303 |
+
"step": 840
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.16182143193150814,
|
| 307 |
+
"grad_norm": 0.08405464887619019,
|
| 308 |
+
"learning_rate": 0.0002,
|
| 309 |
+
"loss": 0.119,
|
| 310 |
+
"step": 860
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.16558472104619437,
|
| 314 |
+
"grad_norm": 0.07539790868759155,
|
| 315 |
+
"learning_rate": 0.0002,
|
| 316 |
+
"loss": 0.1213,
|
| 317 |
+
"step": 880
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.1693480101608806,
|
| 321 |
+
"grad_norm": 0.08806908130645752,
|
| 322 |
+
"learning_rate": 0.0002,
|
| 323 |
+
"loss": 0.1192,
|
| 324 |
+
"step": 900
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.17311129927556684,
|
| 328 |
+
"grad_norm": 0.08064749836921692,
|
| 329 |
+
"learning_rate": 0.0002,
|
| 330 |
+
"loss": 0.1141,
|
| 331 |
+
"step": 920
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.17687458839025308,
|
| 335 |
+
"grad_norm": 0.09680119901895523,
|
| 336 |
+
"learning_rate": 0.0002,
|
| 337 |
+
"loss": 0.1042,
|
| 338 |
+
"step": 940
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.18063787750493931,
|
| 342 |
+
"grad_norm": 0.09092500060796738,
|
| 343 |
+
"learning_rate": 0.0002,
|
| 344 |
+
"loss": 0.1067,
|
| 345 |
+
"step": 960
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.18440116661962555,
|
| 349 |
+
"grad_norm": 0.07870171219110489,
|
| 350 |
+
"learning_rate": 0.0002,
|
| 351 |
+
"loss": 0.1101,
|
| 352 |
+
"step": 980
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.1881644557343118,
|
| 356 |
+
"grad_norm": 0.06842092424631119,
|
| 357 |
+
"learning_rate": 0.0002,
|
| 358 |
+
"loss": 0.1045,
|
| 359 |
+
"step": 1000
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.19192774484899802,
|
| 363 |
+
"grad_norm": 0.08229291439056396,
|
| 364 |
+
"learning_rate": 0.0002,
|
| 365 |
+
"loss": 0.114,
|
| 366 |
+
"step": 1020
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.19569103396368426,
|
| 370 |
+
"grad_norm": 0.07617371529340744,
|
| 371 |
+
"learning_rate": 0.0002,
|
| 372 |
+
"loss": 0.1077,
|
| 373 |
+
"step": 1040
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.1994543230783705,
|
| 377 |
+
"grad_norm": 0.09529408067464828,
|
| 378 |
+
"learning_rate": 0.0002,
|
| 379 |
+
"loss": 0.101,
|
| 380 |
+
"step": 1060
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.20321761219305673,
|
| 384 |
+
"grad_norm": 0.07952335476875305,
|
| 385 |
+
"learning_rate": 0.0002,
|
| 386 |
+
"loss": 0.1065,
|
| 387 |
+
"step": 1080
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.20698090130774296,
|
| 391 |
+
"grad_norm": 0.07625720649957657,
|
| 392 |
+
"learning_rate": 0.0002,
|
| 393 |
+
"loss": 0.0987,
|
| 394 |
+
"step": 1100
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.2107441904224292,
|
| 398 |
+
"grad_norm": 0.07906854152679443,
|
| 399 |
+
"learning_rate": 0.0002,
|
| 400 |
+
"loss": 0.0986,
|
| 401 |
+
"step": 1120
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.21450747953711544,
|
| 405 |
+
"grad_norm": 0.08430849015712738,
|
| 406 |
+
"learning_rate": 0.0002,
|
| 407 |
+
"loss": 0.1085,
|
| 408 |
+
"step": 1140
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.21827076865180167,
|
| 412 |
+
"grad_norm": 0.0861297994852066,
|
| 413 |
+
"learning_rate": 0.0002,
|
| 414 |
+
"loss": 0.1066,
|
| 415 |
+
"step": 1160
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.2220340577664879,
|
| 419 |
+
"grad_norm": 0.07576191425323486,
|
| 420 |
+
"learning_rate": 0.0002,
|
| 421 |
+
"loss": 0.1051,
|
| 422 |
+
"step": 1180
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.22579734688117414,
|
| 426 |
+
"grad_norm": 0.08132428675889969,
|
| 427 |
+
"learning_rate": 0.0002,
|
| 428 |
+
"loss": 0.1036,
|
| 429 |
+
"step": 1200
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.22956063599586038,
|
| 433 |
+
"grad_norm": 0.06960251182317734,
|
| 434 |
+
"learning_rate": 0.0002,
|
| 435 |
+
"loss": 0.1039,
|
| 436 |
+
"step": 1220
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.23332392511054661,
|
| 440 |
+
"grad_norm": 0.08230841159820557,
|
| 441 |
+
"learning_rate": 0.0002,
|
| 442 |
+
"loss": 0.1046,
|
| 443 |
+
"step": 1240
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.23708721422523285,
|
| 447 |
+
"grad_norm": 0.07119760662317276,
|
| 448 |
+
"learning_rate": 0.0002,
|
| 449 |
+
"loss": 0.1064,
|
| 450 |
+
"step": 1260
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.2408505033399191,
|
| 454 |
+
"grad_norm": 0.06965576857328415,
|
| 455 |
+
"learning_rate": 0.0002,
|
| 456 |
+
"loss": 0.0964,
|
| 457 |
+
"step": 1280
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.24461379245460532,
|
| 461 |
+
"grad_norm": 0.07533243298530579,
|
| 462 |
+
"learning_rate": 0.0002,
|
| 463 |
+
"loss": 0.0973,
|
| 464 |
+
"step": 1300
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.24837708156929156,
|
| 468 |
+
"grad_norm": 0.07530753314495087,
|
| 469 |
+
"learning_rate": 0.0002,
|
| 470 |
+
"loss": 0.1002,
|
| 471 |
+
"step": 1320
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.2521403706839778,
|
| 475 |
+
"grad_norm": 0.0701604038476944,
|
| 476 |
+
"learning_rate": 0.0002,
|
| 477 |
+
"loss": 0.1014,
|
| 478 |
+
"step": 1340
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.25590365979866403,
|
| 482 |
+
"grad_norm": 0.08768032491207123,
|
| 483 |
+
"learning_rate": 0.0002,
|
| 484 |
+
"loss": 0.099,
|
| 485 |
+
"step": 1360
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.2596669489133503,
|
| 489 |
+
"grad_norm": 0.0789860337972641,
|
| 490 |
+
"learning_rate": 0.0002,
|
| 491 |
+
"loss": 0.0947,
|
| 492 |
+
"step": 1380
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.2634302380280365,
|
| 496 |
+
"grad_norm": 0.09132009744644165,
|
| 497 |
+
"learning_rate": 0.0002,
|
| 498 |
+
"loss": 0.0975,
|
| 499 |
+
"step": 1400
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.26719352714272276,
|
| 503 |
+
"grad_norm": 0.07386859506368637,
|
| 504 |
+
"learning_rate": 0.0002,
|
| 505 |
+
"loss": 0.0997,
|
| 506 |
+
"step": 1420
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.270956816257409,
|
| 510 |
+
"grad_norm": 0.07243089377880096,
|
| 511 |
+
"learning_rate": 0.0002,
|
| 512 |
+
"loss": 0.0956,
|
| 513 |
+
"step": 1440
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.27472010537209524,
|
| 517 |
+
"grad_norm": 0.0814971774816513,
|
| 518 |
+
"learning_rate": 0.0002,
|
| 519 |
+
"loss": 0.0869,
|
| 520 |
+
"step": 1460
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.27848339448678144,
|
| 524 |
+
"grad_norm": 0.07246191054582596,
|
| 525 |
+
"learning_rate": 0.0002,
|
| 526 |
+
"loss": 0.0958,
|
| 527 |
+
"step": 1480
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.2822466836014677,
|
| 531 |
+
"grad_norm": 0.08997531235218048,
|
| 532 |
+
"learning_rate": 0.0002,
|
| 533 |
+
"loss": 0.0875,
|
| 534 |
+
"step": 1500
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.2860099727161539,
|
| 538 |
+
"grad_norm": 0.08498572558164597,
|
| 539 |
+
"learning_rate": 0.0002,
|
| 540 |
+
"loss": 0.0872,
|
| 541 |
+
"step": 1520
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.2897732618308402,
|
| 545 |
+
"grad_norm": 0.08210768550634384,
|
| 546 |
+
"learning_rate": 0.0002,
|
| 547 |
+
"loss": 0.085,
|
| 548 |
+
"step": 1540
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.2935365509455264,
|
| 552 |
+
"grad_norm": 0.09801402688026428,
|
| 553 |
+
"learning_rate": 0.0002,
|
| 554 |
+
"loss": 0.0937,
|
| 555 |
+
"step": 1560
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.29729984006021265,
|
| 559 |
+
"grad_norm": 0.07310175150632858,
|
| 560 |
+
"learning_rate": 0.0002,
|
| 561 |
+
"loss": 0.0898,
|
| 562 |
+
"step": 1580
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.30106312917489886,
|
| 566 |
+
"grad_norm": 0.0679851844906807,
|
| 567 |
+
"learning_rate": 0.0002,
|
| 568 |
+
"loss": 0.0853,
|
| 569 |
+
"step": 1600
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.3048264182895851,
|
| 573 |
+
"grad_norm": 0.0764717161655426,
|
| 574 |
+
"learning_rate": 0.0002,
|
| 575 |
+
"loss": 0.0966,
|
| 576 |
+
"step": 1620
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.30858970740427133,
|
| 580 |
+
"grad_norm": 0.0813748836517334,
|
| 581 |
+
"learning_rate": 0.0002,
|
| 582 |
+
"loss": 0.0914,
|
| 583 |
+
"step": 1640
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.3123529965189576,
|
| 587 |
+
"grad_norm": 0.07560984790325165,
|
| 588 |
+
"learning_rate": 0.0002,
|
| 589 |
+
"loss": 0.0889,
|
| 590 |
+
"step": 1660
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.3161162856336438,
|
| 594 |
+
"grad_norm": 0.07131631672382355,
|
| 595 |
+
"learning_rate": 0.0002,
|
| 596 |
+
"loss": 0.0862,
|
| 597 |
+
"step": 1680
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.31987957474833006,
|
| 601 |
+
"grad_norm": 0.07922184467315674,
|
| 602 |
+
"learning_rate": 0.0002,
|
| 603 |
+
"loss": 0.0908,
|
| 604 |
+
"step": 1700
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.3236428638630163,
|
| 608 |
+
"grad_norm": 0.09043222665786743,
|
| 609 |
+
"learning_rate": 0.0002,
|
| 610 |
+
"loss": 0.0887,
|
| 611 |
+
"step": 1720
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.32740615297770254,
|
| 615 |
+
"grad_norm": 0.08574160188436508,
|
| 616 |
+
"learning_rate": 0.0002,
|
| 617 |
+
"loss": 0.0895,
|
| 618 |
+
"step": 1740
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 0.33116944209238874,
|
| 622 |
+
"grad_norm": 0.0885438472032547,
|
| 623 |
+
"learning_rate": 0.0002,
|
| 624 |
+
"loss": 0.0886,
|
| 625 |
+
"step": 1760
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 0.334932731207075,
|
| 629 |
+
"grad_norm": 0.08546678721904755,
|
| 630 |
+
"learning_rate": 0.0002,
|
| 631 |
+
"loss": 0.0871,
|
| 632 |
+
"step": 1780
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.3386960203217612,
|
| 636 |
+
"grad_norm": 0.0922817662358284,
|
| 637 |
+
"learning_rate": 0.0002,
|
| 638 |
+
"loss": 0.0877,
|
| 639 |
+
"step": 1800
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.3424593094364475,
|
| 643 |
+
"grad_norm": 0.08879639208316803,
|
| 644 |
+
"learning_rate": 0.0002,
|
| 645 |
+
"loss": 0.0877,
|
| 646 |
+
"step": 1820
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.3462225985511337,
|
| 650 |
+
"grad_norm": 0.09202056378126144,
|
| 651 |
+
"learning_rate": 0.0002,
|
| 652 |
+
"loss": 0.0827,
|
| 653 |
+
"step": 1840
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.34998588766581995,
|
| 657 |
+
"grad_norm": 0.0998295396566391,
|
| 658 |
+
"learning_rate": 0.0002,
|
| 659 |
+
"loss": 0.0835,
|
| 660 |
+
"step": 1860
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 0.35374917678050616,
|
| 664 |
+
"grad_norm": 0.09490591287612915,
|
| 665 |
+
"learning_rate": 0.0002,
|
| 666 |
+
"loss": 0.0862,
|
| 667 |
+
"step": 1880
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.3575124658951924,
|
| 671 |
+
"grad_norm": 0.08920489251613617,
|
| 672 |
+
"learning_rate": 0.0002,
|
| 673 |
+
"loss": 0.0859,
|
| 674 |
+
"step": 1900
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.36127575500987863,
|
| 678 |
+
"grad_norm": 0.0803561583161354,
|
| 679 |
+
"learning_rate": 0.0002,
|
| 680 |
+
"loss": 0.081,
|
| 681 |
+
"step": 1920
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.3650390441245649,
|
| 685 |
+
"grad_norm": 0.08496900647878647,
|
| 686 |
+
"learning_rate": 0.0002,
|
| 687 |
+
"loss": 0.0835,
|
| 688 |
+
"step": 1940
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.3688023332392511,
|
| 692 |
+
"grad_norm": 0.08658849447965622,
|
| 693 |
+
"learning_rate": 0.0002,
|
| 694 |
+
"loss": 0.0883,
|
| 695 |
+
"step": 1960
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.37256562235393736,
|
| 699 |
+
"grad_norm": 0.08497461676597595,
|
| 700 |
+
"learning_rate": 0.0002,
|
| 701 |
+
"loss": 0.0811,
|
| 702 |
+
"step": 1980
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 0.3763289114686236,
|
| 706 |
+
"grad_norm": 0.06599749624729156,
|
| 707 |
+
"learning_rate": 0.0002,
|
| 708 |
+
"loss": 0.0714,
|
| 709 |
+
"step": 2000
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.38009220058330984,
|
| 713 |
+
"grad_norm": 0.07988911867141724,
|
| 714 |
+
"learning_rate": 0.0002,
|
| 715 |
+
"loss": 0.0874,
|
| 716 |
+
"step": 2020
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 0.38385548969799604,
|
| 720 |
+
"grad_norm": 0.07323348522186279,
|
| 721 |
+
"learning_rate": 0.0002,
|
| 722 |
+
"loss": 0.0809,
|
| 723 |
+
"step": 2040
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 0.3876187788126823,
|
| 727 |
+
"grad_norm": 0.07455869019031525,
|
| 728 |
+
"learning_rate": 0.0002,
|
| 729 |
+
"loss": 0.0819,
|
| 730 |
+
"step": 2060
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.3913820679273685,
|
| 734 |
+
"grad_norm": 0.08383121341466904,
|
| 735 |
+
"learning_rate": 0.0002,
|
| 736 |
+
"loss": 0.0811,
|
| 737 |
+
"step": 2080
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.3951453570420548,
|
| 741 |
+
"grad_norm": 0.07616332918405533,
|
| 742 |
+
"learning_rate": 0.0002,
|
| 743 |
+
"loss": 0.0802,
|
| 744 |
+
"step": 2100
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.398908646156741,
|
| 748 |
+
"grad_norm": 0.08373293280601501,
|
| 749 |
+
"learning_rate": 0.0002,
|
| 750 |
+
"loss": 0.0878,
|
| 751 |
+
"step": 2120
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.40267193527142725,
|
| 755 |
+
"grad_norm": 0.07459353655576706,
|
| 756 |
+
"learning_rate": 0.0002,
|
| 757 |
+
"loss": 0.0806,
|
| 758 |
+
"step": 2140
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.40643522438611346,
|
| 762 |
+
"grad_norm": 0.08267400413751602,
|
| 763 |
+
"learning_rate": 0.0002,
|
| 764 |
+
"loss": 0.0799,
|
| 765 |
+
"step": 2160
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.4101985135007997,
|
| 769 |
+
"grad_norm": 0.07844484597444534,
|
| 770 |
+
"learning_rate": 0.0002,
|
| 771 |
+
"loss": 0.0843,
|
| 772 |
+
"step": 2180
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 0.41396180261548593,
|
| 776 |
+
"grad_norm": 0.07998470962047577,
|
| 777 |
+
"learning_rate": 0.0002,
|
| 778 |
+
"loss": 0.0821,
|
| 779 |
+
"step": 2200
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.4177250917301722,
|
| 783 |
+
"grad_norm": 0.08860679715871811,
|
| 784 |
+
"learning_rate": 0.0002,
|
| 785 |
+
"loss": 0.0819,
|
| 786 |
+
"step": 2220
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.4214883808448584,
|
| 790 |
+
"grad_norm": 0.07845838367938995,
|
| 791 |
+
"learning_rate": 0.0002,
|
| 792 |
+
"loss": 0.0802,
|
| 793 |
+
"step": 2240
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.42525166995954466,
|
| 797 |
+
"grad_norm": 0.08801402896642685,
|
| 798 |
+
"learning_rate": 0.0002,
|
| 799 |
+
"loss": 0.0768,
|
| 800 |
+
"step": 2260
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.4290149590742309,
|
| 804 |
+
"grad_norm": 0.06149598956108093,
|
| 805 |
+
"learning_rate": 0.0002,
|
| 806 |
+
"loss": 0.0806,
|
| 807 |
+
"step": 2280
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.43277824818891714,
|
| 811 |
+
"grad_norm": 0.07813749462366104,
|
| 812 |
+
"learning_rate": 0.0002,
|
| 813 |
+
"loss": 0.0775,
|
| 814 |
+
"step": 2300
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 0.43654153730360334,
|
| 818 |
+
"grad_norm": 0.08169027417898178,
|
| 819 |
+
"learning_rate": 0.0002,
|
| 820 |
+
"loss": 0.0774,
|
| 821 |
+
"step": 2320
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.4403048264182896,
|
| 825 |
+
"grad_norm": 0.06748262792825699,
|
| 826 |
+
"learning_rate": 0.0002,
|
| 827 |
+
"loss": 0.0721,
|
| 828 |
+
"step": 2340
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.4440681155329758,
|
| 832 |
+
"grad_norm": 0.07497742772102356,
|
| 833 |
+
"learning_rate": 0.0002,
|
| 834 |
+
"loss": 0.0687,
|
| 835 |
+
"step": 2360
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 0.4478314046476621,
|
| 839 |
+
"grad_norm": 0.08851341158151627,
|
| 840 |
+
"learning_rate": 0.0002,
|
| 841 |
+
"loss": 0.0809,
|
| 842 |
+
"step": 2380
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.4515946937623483,
|
| 846 |
+
"grad_norm": 0.06805267184972763,
|
| 847 |
+
"learning_rate": 0.0002,
|
| 848 |
+
"loss": 0.0783,
|
| 849 |
+
"step": 2400
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.45535798287703455,
|
| 853 |
+
"grad_norm": 0.07998234033584595,
|
| 854 |
+
"learning_rate": 0.0002,
|
| 855 |
+
"loss": 0.0816,
|
| 856 |
+
"step": 2420
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 0.45912127199172076,
|
| 860 |
+
"grad_norm": 0.07358496636152267,
|
| 861 |
+
"learning_rate": 0.0002,
|
| 862 |
+
"loss": 0.0715,
|
| 863 |
+
"step": 2440
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 0.462884561106407,
|
| 867 |
+
"grad_norm": 0.08105491101741791,
|
| 868 |
+
"learning_rate": 0.0002,
|
| 869 |
+
"loss": 0.076,
|
| 870 |
+
"step": 2460
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 0.46664785022109323,
|
| 874 |
+
"grad_norm": 0.08625109493732452,
|
| 875 |
+
"learning_rate": 0.0002,
|
| 876 |
+
"loss": 0.0731,
|
| 877 |
+
"step": 2480
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 0.4704111393357795,
|
| 881 |
+
"grad_norm": 0.07986035943031311,
|
| 882 |
+
"learning_rate": 0.0002,
|
| 883 |
+
"loss": 0.0726,
|
| 884 |
+
"step": 2500
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 0.4741744284504657,
|
| 888 |
+
"grad_norm": 0.07247906923294067,
|
| 889 |
+
"learning_rate": 0.0002,
|
| 890 |
+
"loss": 0.0763,
|
| 891 |
+
"step": 2520
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 0.47793771756515196,
|
| 895 |
+
"grad_norm": 0.08120191842317581,
|
| 896 |
+
"learning_rate": 0.0002,
|
| 897 |
+
"loss": 0.0764,
|
| 898 |
+
"step": 2540
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 0.4817010066798382,
|
| 902 |
+
"grad_norm": 0.09049087017774582,
|
| 903 |
+
"learning_rate": 0.0002,
|
| 904 |
+
"loss": 0.0799,
|
| 905 |
+
"step": 2560
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.48546429579452444,
|
| 909 |
+
"grad_norm": 0.06859074532985687,
|
| 910 |
+
"learning_rate": 0.0002,
|
| 911 |
+
"loss": 0.0733,
|
| 912 |
+
"step": 2580
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 0.48922758490921064,
|
| 916 |
+
"grad_norm": 0.07872766256332397,
|
| 917 |
+
"learning_rate": 0.0002,
|
| 918 |
+
"loss": 0.0724,
|
| 919 |
+
"step": 2600
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 0.4929908740238969,
|
| 923 |
+
"grad_norm": 0.0663181021809578,
|
| 924 |
+
"learning_rate": 0.0002,
|
| 925 |
+
"loss": 0.0744,
|
| 926 |
+
"step": 2620
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 0.4967541631385831,
|
| 930 |
+
"grad_norm": 0.07880811393260956,
|
| 931 |
+
"learning_rate": 0.0002,
|
| 932 |
+
"loss": 0.0759,
|
| 933 |
+
"step": 2640
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 0.5005174522532694,
|
| 937 |
+
"grad_norm": 0.12468737363815308,
|
| 938 |
+
"learning_rate": 0.0002,
|
| 939 |
+
"loss": 0.0747,
|
| 940 |
+
"step": 2660
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 0.5042807413679556,
|
| 944 |
+
"grad_norm": 0.08328507095575333,
|
| 945 |
+
"learning_rate": 0.0002,
|
| 946 |
+
"loss": 0.0754,
|
| 947 |
+
"step": 2680
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.5080440304826418,
|
| 951 |
+
"grad_norm": 0.06665025651454926,
|
| 952 |
+
"learning_rate": 0.0002,
|
| 953 |
+
"loss": 0.0721,
|
| 954 |
+
"step": 2700
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 0.5118073195973281,
|
| 958 |
+
"grad_norm": 0.07980209589004517,
|
| 959 |
+
"learning_rate": 0.0002,
|
| 960 |
+
"loss": 0.0733,
|
| 961 |
+
"step": 2720
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 0.5155706087120143,
|
| 965 |
+
"grad_norm": 0.07951670140028,
|
| 966 |
+
"learning_rate": 0.0002,
|
| 967 |
+
"loss": 0.0792,
|
| 968 |
+
"step": 2740
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 0.5193338978267006,
|
| 972 |
+
"grad_norm": 0.07515596598386765,
|
| 973 |
+
"learning_rate": 0.0002,
|
| 974 |
+
"loss": 0.0724,
|
| 975 |
+
"step": 2760
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 0.5230971869413867,
|
| 979 |
+
"grad_norm": 0.08162270486354828,
|
| 980 |
+
"learning_rate": 0.0002,
|
| 981 |
+
"loss": 0.0714,
|
| 982 |
+
"step": 2780
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 0.526860476056073,
|
| 986 |
+
"grad_norm": 0.08002326637506485,
|
| 987 |
+
"learning_rate": 0.0002,
|
| 988 |
+
"loss": 0.077,
|
| 989 |
+
"step": 2800
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 0.5306237651707593,
|
| 993 |
+
"grad_norm": 0.07449716329574585,
|
| 994 |
+
"learning_rate": 0.0002,
|
| 995 |
+
"loss": 0.0707,
|
| 996 |
+
"step": 2820
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 0.5343870542854455,
|
| 1000 |
+
"grad_norm": 0.07990019023418427,
|
| 1001 |
+
"learning_rate": 0.0002,
|
| 1002 |
+
"loss": 0.071,
|
| 1003 |
+
"step": 2840
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 0.5381503434001317,
|
| 1007 |
+
"grad_norm": 0.08538304269313812,
|
| 1008 |
+
"learning_rate": 0.0002,
|
| 1009 |
+
"loss": 0.0707,
|
| 1010 |
+
"step": 2860
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 0.541913632514818,
|
| 1014 |
+
"grad_norm": 0.073255255818367,
|
| 1015 |
+
"learning_rate": 0.0002,
|
| 1016 |
+
"loss": 0.0699,
|
| 1017 |
+
"step": 2880
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 0.5456769216295042,
|
| 1021 |
+
"grad_norm": 0.09101062268018723,
|
| 1022 |
+
"learning_rate": 0.0002,
|
| 1023 |
+
"loss": 0.0708,
|
| 1024 |
+
"step": 2900
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 0.5494402107441905,
|
| 1028 |
+
"grad_norm": 0.0757337138056755,
|
| 1029 |
+
"learning_rate": 0.0002,
|
| 1030 |
+
"loss": 0.0702,
|
| 1031 |
+
"step": 2920
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 0.5532034998588766,
|
| 1035 |
+
"grad_norm": 0.06553716212511063,
|
| 1036 |
+
"learning_rate": 0.0002,
|
| 1037 |
+
"loss": 0.0698,
|
| 1038 |
+
"step": 2940
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 0.5569667889735629,
|
| 1042 |
+
"grad_norm": 0.08524072915315628,
|
| 1043 |
+
"learning_rate": 0.0002,
|
| 1044 |
+
"loss": 0.0738,
|
| 1045 |
+
"step": 2960
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 0.5607300780882492,
|
| 1049 |
+
"grad_norm": 0.07361309975385666,
|
| 1050 |
+
"learning_rate": 0.0002,
|
| 1051 |
+
"loss": 0.0695,
|
| 1052 |
+
"step": 2980
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 0.5644933672029354,
|
| 1056 |
+
"grad_norm": 0.07155182212591171,
|
| 1057 |
+
"learning_rate": 0.0002,
|
| 1058 |
+
"loss": 0.0667,
|
| 1059 |
+
"step": 3000
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 0.5682566563176216,
|
| 1063 |
+
"grad_norm": 0.08088400214910507,
|
| 1064 |
+
"learning_rate": 0.0002,
|
| 1065 |
+
"loss": 0.0695,
|
| 1066 |
+
"step": 3020
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 0.5720199454323078,
|
| 1070 |
+
"grad_norm": 0.08842818439006805,
|
| 1071 |
+
"learning_rate": 0.0002,
|
| 1072 |
+
"loss": 0.0656,
|
| 1073 |
+
"step": 3040
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 0.5757832345469941,
|
| 1077 |
+
"grad_norm": 0.07135680317878723,
|
| 1078 |
+
"learning_rate": 0.0002,
|
| 1079 |
+
"loss": 0.0673,
|
| 1080 |
+
"step": 3060
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 0.5795465236616804,
|
| 1084 |
+
"grad_norm": 0.08081484586000443,
|
| 1085 |
+
"learning_rate": 0.0002,
|
| 1086 |
+
"loss": 0.0709,
|
| 1087 |
+
"step": 3080
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 0.5833098127763665,
|
| 1091 |
+
"grad_norm": 0.06999066472053528,
|
| 1092 |
+
"learning_rate": 0.0002,
|
| 1093 |
+
"loss": 0.0684,
|
| 1094 |
+
"step": 3100
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 0.5870731018910528,
|
| 1098 |
+
"grad_norm": 0.06368447095155716,
|
| 1099 |
+
"learning_rate": 0.0002,
|
| 1100 |
+
"loss": 0.0691,
|
| 1101 |
+
"step": 3120
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 0.590836391005739,
|
| 1105 |
+
"grad_norm": 0.08371565490961075,
|
| 1106 |
+
"learning_rate": 0.0002,
|
| 1107 |
+
"loss": 0.0641,
|
| 1108 |
+
"step": 3140
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 0.5945996801204253,
|
| 1112 |
+
"grad_norm": 0.0675625279545784,
|
| 1113 |
+
"learning_rate": 0.0002,
|
| 1114 |
+
"loss": 0.069,
|
| 1115 |
+
"step": 3160
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 0.5983629692351115,
|
| 1119 |
+
"grad_norm": 0.08121863007545471,
|
| 1120 |
+
"learning_rate": 0.0002,
|
| 1121 |
+
"loss": 0.065,
|
| 1122 |
+
"step": 3180
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 0.6021262583497977,
|
| 1126 |
+
"grad_norm": 0.06689095497131348,
|
| 1127 |
+
"learning_rate": 0.0002,
|
| 1128 |
+
"loss": 0.0675,
|
| 1129 |
+
"step": 3200
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 0.605889547464484,
|
| 1133 |
+
"grad_norm": 0.06634503602981567,
|
| 1134 |
+
"learning_rate": 0.0002,
|
| 1135 |
+
"loss": 0.064,
|
| 1136 |
+
"step": 3220
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 0.6096528365791702,
|
| 1140 |
+
"grad_norm": 0.07062681019306183,
|
| 1141 |
+
"learning_rate": 0.0002,
|
| 1142 |
+
"loss": 0.0698,
|
| 1143 |
+
"step": 3240
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 0.6134161256938564,
|
| 1147 |
+
"grad_norm": 0.07908321917057037,
|
| 1148 |
+
"learning_rate": 0.0002,
|
| 1149 |
+
"loss": 0.0674,
|
| 1150 |
+
"step": 3260
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 0.6171794148085427,
|
| 1154 |
+
"grad_norm": 0.08132966607809067,
|
| 1155 |
+
"learning_rate": 0.0002,
|
| 1156 |
+
"loss": 0.0694,
|
| 1157 |
+
"step": 3280
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 0.6209427039232289,
|
| 1161 |
+
"grad_norm": 0.081205353140831,
|
| 1162 |
+
"learning_rate": 0.0002,
|
| 1163 |
+
"loss": 0.0627,
|
| 1164 |
+
"step": 3300
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 0.6247059930379152,
|
| 1168 |
+
"grad_norm": 0.07323930412530899,
|
| 1169 |
+
"learning_rate": 0.0002,
|
| 1170 |
+
"loss": 0.0645,
|
| 1171 |
+
"step": 3320
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 0.6284692821526013,
|
| 1175 |
+
"grad_norm": 0.07979920506477356,
|
| 1176 |
+
"learning_rate": 0.0002,
|
| 1177 |
+
"loss": 0.0601,
|
| 1178 |
+
"step": 3340
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 0.6322325712672876,
|
| 1182 |
+
"grad_norm": 0.06519381701946259,
|
| 1183 |
+
"learning_rate": 0.0002,
|
| 1184 |
+
"loss": 0.0677,
|
| 1185 |
+
"step": 3360
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 0.6359958603819739,
|
| 1189 |
+
"grad_norm": 0.07861756533384323,
|
| 1190 |
+
"learning_rate": 0.0002,
|
| 1191 |
+
"loss": 0.0648,
|
| 1192 |
+
"step": 3380
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 0.6397591494966601,
|
| 1196 |
+
"grad_norm": 0.09498826414346695,
|
| 1197 |
+
"learning_rate": 0.0002,
|
| 1198 |
+
"loss": 0.0644,
|
| 1199 |
+
"step": 3400
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 0.6435224386113463,
|
| 1203 |
+
"grad_norm": 0.07069331407546997,
|
| 1204 |
+
"learning_rate": 0.0002,
|
| 1205 |
+
"loss": 0.0683,
|
| 1206 |
+
"step": 3420
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 0.6472857277260325,
|
| 1210 |
+
"grad_norm": 0.07212232798337936,
|
| 1211 |
+
"learning_rate": 0.0002,
|
| 1212 |
+
"loss": 0.061,
|
| 1213 |
+
"step": 3440
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 0.6510490168407188,
|
| 1217 |
+
"grad_norm": 0.06527985632419586,
|
| 1218 |
+
"learning_rate": 0.0002,
|
| 1219 |
+
"loss": 0.063,
|
| 1220 |
+
"step": 3460
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 0.6548123059554051,
|
| 1224 |
+
"grad_norm": 0.09721993654966354,
|
| 1225 |
+
"learning_rate": 0.0002,
|
| 1226 |
+
"loss": 0.0699,
|
| 1227 |
+
"step": 3480
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 0.6585755950700912,
|
| 1231 |
+
"grad_norm": 0.06381040811538696,
|
| 1232 |
+
"learning_rate": 0.0002,
|
| 1233 |
+
"loss": 0.0604,
|
| 1234 |
+
"step": 3500
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 0.6623388841847775,
|
| 1238 |
+
"grad_norm": 0.07853078097105026,
|
| 1239 |
+
"learning_rate": 0.0002,
|
| 1240 |
+
"loss": 0.0649,
|
| 1241 |
+
"step": 3520
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 0.6661021732994638,
|
| 1245 |
+
"grad_norm": 0.09212848544120789,
|
| 1246 |
+
"learning_rate": 0.0002,
|
| 1247 |
+
"loss": 0.0588,
|
| 1248 |
+
"step": 3540
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 0.66986546241415,
|
| 1252 |
+
"grad_norm": 0.07097720354795456,
|
| 1253 |
+
"learning_rate": 0.0002,
|
| 1254 |
+
"loss": 0.0635,
|
| 1255 |
+
"step": 3560
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 0.6736287515288362,
|
| 1259 |
+
"grad_norm": 0.08024760335683823,
|
| 1260 |
+
"learning_rate": 0.0002,
|
| 1261 |
+
"loss": 0.068,
|
| 1262 |
+
"step": 3580
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 0.6773920406435224,
|
| 1266 |
+
"grad_norm": 0.07371170073747635,
|
| 1267 |
+
"learning_rate": 0.0002,
|
| 1268 |
+
"loss": 0.0652,
|
| 1269 |
+
"step": 3600
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 0.6811553297582087,
|
| 1273 |
+
"grad_norm": 0.0894666537642479,
|
| 1274 |
+
"learning_rate": 0.0002,
|
| 1275 |
+
"loss": 0.0659,
|
| 1276 |
+
"step": 3620
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 0.684918618872895,
|
| 1280 |
+
"grad_norm": 0.07533634454011917,
|
| 1281 |
+
"learning_rate": 0.0002,
|
| 1282 |
+
"loss": 0.0656,
|
| 1283 |
+
"step": 3640
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 0.6886819079875811,
|
| 1287 |
+
"grad_norm": 0.09198255091905594,
|
| 1288 |
+
"learning_rate": 0.0002,
|
| 1289 |
+
"loss": 0.0645,
|
| 1290 |
+
"step": 3660
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 0.6924451971022674,
|
| 1294 |
+
"grad_norm": 0.07213396579027176,
|
| 1295 |
+
"learning_rate": 0.0002,
|
| 1296 |
+
"loss": 0.0634,
|
| 1297 |
+
"step": 3680
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 0.6962084862169536,
|
| 1301 |
+
"grad_norm": 0.06533551216125488,
|
| 1302 |
+
"learning_rate": 0.0002,
|
| 1303 |
+
"loss": 0.0666,
|
| 1304 |
+
"step": 3700
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 0.6999717753316399,
|
| 1308 |
+
"grad_norm": 0.09535999596118927,
|
| 1309 |
+
"learning_rate": 0.0002,
|
| 1310 |
+
"loss": 0.0651,
|
| 1311 |
+
"step": 3720
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 0.703735064446326,
|
| 1315 |
+
"grad_norm": 0.07631547003984451,
|
| 1316 |
+
"learning_rate": 0.0002,
|
| 1317 |
+
"loss": 0.0678,
|
| 1318 |
+
"step": 3740
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 0.7074983535610123,
|
| 1322 |
+
"grad_norm": 0.09607011079788208,
|
| 1323 |
+
"learning_rate": 0.0002,
|
| 1324 |
+
"loss": 0.0681,
|
| 1325 |
+
"step": 3760
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 0.7112616426756986,
|
| 1329 |
+
"grad_norm": 0.07209835946559906,
|
| 1330 |
+
"learning_rate": 0.0002,
|
| 1331 |
+
"loss": 0.068,
|
| 1332 |
+
"step": 3780
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"epoch": 0.7150249317903848,
|
| 1336 |
+
"grad_norm": 0.09137856960296631,
|
| 1337 |
+
"learning_rate": 0.0002,
|
| 1338 |
+
"loss": 0.0598,
|
| 1339 |
+
"step": 3800
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 0.718788220905071,
|
| 1343 |
+
"grad_norm": 0.09964293241500854,
|
| 1344 |
+
"learning_rate": 0.0002,
|
| 1345 |
+
"loss": 0.0656,
|
| 1346 |
+
"step": 3820
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 0.7225515100197573,
|
| 1350 |
+
"grad_norm": 0.07041902840137482,
|
| 1351 |
+
"learning_rate": 0.0002,
|
| 1352 |
+
"loss": 0.0617,
|
| 1353 |
+
"step": 3840
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 0.7263147991344435,
|
| 1357 |
+
"grad_norm": 0.05418103560805321,
|
| 1358 |
+
"learning_rate": 0.0002,
|
| 1359 |
+
"loss": 0.0686,
|
| 1360 |
+
"step": 3860
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 0.7300780882491298,
|
| 1364 |
+
"grad_norm": 0.07180003076791763,
|
| 1365 |
+
"learning_rate": 0.0002,
|
| 1366 |
+
"loss": 0.0627,
|
| 1367 |
+
"step": 3880
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 0.7338413773638159,
|
| 1371 |
+
"grad_norm": 0.07342009246349335,
|
| 1372 |
+
"learning_rate": 0.0002,
|
| 1373 |
+
"loss": 0.0651,
|
| 1374 |
+
"step": 3900
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 0.7376046664785022,
|
| 1378 |
+
"grad_norm": 0.08151030540466309,
|
| 1379 |
+
"learning_rate": 0.0002,
|
| 1380 |
+
"loss": 0.0645,
|
| 1381 |
+
"step": 3920
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 0.7413679555931885,
|
| 1385 |
+
"grad_norm": 0.09977607429027557,
|
| 1386 |
+
"learning_rate": 0.0002,
|
| 1387 |
+
"loss": 0.0606,
|
| 1388 |
+
"step": 3940
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 0.7451312447078747,
|
| 1392 |
+
"grad_norm": 0.06991346180438995,
|
| 1393 |
+
"learning_rate": 0.0002,
|
| 1394 |
+
"loss": 0.064,
|
| 1395 |
+
"step": 3960
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 0.7488945338225609,
|
| 1399 |
+
"grad_norm": 0.06797617673873901,
|
| 1400 |
+
"learning_rate": 0.0002,
|
| 1401 |
+
"loss": 0.0595,
|
| 1402 |
+
"step": 3980
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 0.7526578229372471,
|
| 1406 |
+
"grad_norm": 0.06056559830904007,
|
| 1407 |
+
"learning_rate": 0.0002,
|
| 1408 |
+
"loss": 0.0595,
|
| 1409 |
+
"step": 4000
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 0.7564211120519334,
|
| 1413 |
+
"grad_norm": 0.06775388866662979,
|
| 1414 |
+
"learning_rate": 0.0002,
|
| 1415 |
+
"loss": 0.0624,
|
| 1416 |
+
"step": 4020
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 0.7601844011666197,
|
| 1420 |
+
"grad_norm": 0.08091945201158524,
|
| 1421 |
+
"learning_rate": 0.0002,
|
| 1422 |
+
"loss": 0.0657,
|
| 1423 |
+
"step": 4040
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"epoch": 0.7639476902813058,
|
| 1427 |
+
"grad_norm": 0.1335289478302002,
|
| 1428 |
+
"learning_rate": 0.0002,
|
| 1429 |
+
"loss": 0.061,
|
| 1430 |
+
"step": 4060
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 0.7677109793959921,
|
| 1434 |
+
"grad_norm": 0.07901336252689362,
|
| 1435 |
+
"learning_rate": 0.0002,
|
| 1436 |
+
"loss": 0.0635,
|
| 1437 |
+
"step": 4080
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 0.7714742685106784,
|
| 1441 |
+
"grad_norm": 0.07874254137277603,
|
| 1442 |
+
"learning_rate": 0.0002,
|
| 1443 |
+
"loss": 0.066,
|
| 1444 |
+
"step": 4100
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"epoch": 0.7752375576253646,
|
| 1448 |
+
"grad_norm": 0.07547064125537872,
|
| 1449 |
+
"learning_rate": 0.0002,
|
| 1450 |
+
"loss": 0.061,
|
| 1451 |
+
"step": 4120
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 0.7790008467400508,
|
| 1455 |
+
"grad_norm": 0.06392517685890198,
|
| 1456 |
+
"learning_rate": 0.0002,
|
| 1457 |
+
"loss": 0.0595,
|
| 1458 |
+
"step": 4140
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 0.782764135854737,
|
| 1462 |
+
"grad_norm": 0.08115773648023605,
|
| 1463 |
+
"learning_rate": 0.0002,
|
| 1464 |
+
"loss": 0.0633,
|
| 1465 |
+
"step": 4160
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 0.7865274249694233,
|
| 1469 |
+
"grad_norm": 0.07906658202409744,
|
| 1470 |
+
"learning_rate": 0.0002,
|
| 1471 |
+
"loss": 0.06,
|
| 1472 |
+
"step": 4180
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 0.7902907140841096,
|
| 1476 |
+
"grad_norm": 0.8131846189498901,
|
| 1477 |
+
"learning_rate": 0.0002,
|
| 1478 |
+
"loss": 0.0642,
|
| 1479 |
+
"step": 4200
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 0.7940540031987957,
|
| 1483 |
+
"grad_norm": 0.08816728740930557,
|
| 1484 |
+
"learning_rate": 0.0002,
|
| 1485 |
+
"loss": 0.0683,
|
| 1486 |
+
"step": 4220
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"epoch": 0.797817292313482,
|
| 1490 |
+
"grad_norm": 0.08981813490390778,
|
| 1491 |
+
"learning_rate": 0.0002,
|
| 1492 |
+
"loss": 0.0654,
|
| 1493 |
+
"step": 4240
|
| 1494 |
+
},
|
| 1495 |
+
{
|
| 1496 |
+
"epoch": 0.8015805814281682,
|
| 1497 |
+
"grad_norm": 0.08015542477369308,
|
| 1498 |
+
"learning_rate": 0.0002,
|
| 1499 |
+
"loss": 0.0623,
|
| 1500 |
+
"step": 4260
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 0.8053438705428545,
|
| 1504 |
+
"grad_norm": 0.08604927361011505,
|
| 1505 |
+
"learning_rate": 0.0002,
|
| 1506 |
+
"loss": 0.0616,
|
| 1507 |
+
"step": 4280
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 0.8091071596575407,
|
| 1511 |
+
"grad_norm": 0.08916622400283813,
|
| 1512 |
+
"learning_rate": 0.0002,
|
| 1513 |
+
"loss": 0.0651,
|
| 1514 |
+
"step": 4300
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 0.8128704487722269,
|
| 1518 |
+
"grad_norm": 0.06978412717580795,
|
| 1519 |
+
"learning_rate": 0.0002,
|
| 1520 |
+
"loss": 0.0577,
|
| 1521 |
+
"step": 4320
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 0.8166337378869132,
|
| 1525 |
+
"grad_norm": 0.089443139731884,
|
| 1526 |
+
"learning_rate": 0.0002,
|
| 1527 |
+
"loss": 0.0651,
|
| 1528 |
+
"step": 4340
|
| 1529 |
+
},
|
| 1530 |
+
{
|
| 1531 |
+
"epoch": 0.8203970270015994,
|
| 1532 |
+
"grad_norm": 0.08108926564455032,
|
| 1533 |
+
"learning_rate": 0.0002,
|
| 1534 |
+
"loss": 0.0584,
|
| 1535 |
+
"step": 4360
|
| 1536 |
+
},
|
| 1537 |
+
{
|
| 1538 |
+
"epoch": 0.8241603161162856,
|
| 1539 |
+
"grad_norm": 0.0913953110575676,
|
| 1540 |
+
"learning_rate": 0.0002,
|
| 1541 |
+
"loss": 0.0611,
|
| 1542 |
+
"step": 4380
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"epoch": 0.8279236052309719,
|
| 1546 |
+
"grad_norm": 0.07268033176660538,
|
| 1547 |
+
"learning_rate": 0.0002,
|
| 1548 |
+
"loss": 0.0601,
|
| 1549 |
+
"step": 4400
|
| 1550 |
+
},
|
| 1551 |
+
{
|
| 1552 |
+
"epoch": 0.8316868943456581,
|
| 1553 |
+
"grad_norm": 0.07602666318416595,
|
| 1554 |
+
"learning_rate": 0.0002,
|
| 1555 |
+
"loss": 0.0642,
|
| 1556 |
+
"step": 4420
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 0.8354501834603444,
|
| 1560 |
+
"grad_norm": 0.06899157911539078,
|
| 1561 |
+
"learning_rate": 0.0002,
|
| 1562 |
+
"loss": 0.0603,
|
| 1563 |
+
"step": 4440
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"epoch": 0.8392134725750305,
|
| 1567 |
+
"grad_norm": 0.07310888916254044,
|
| 1568 |
+
"learning_rate": 0.0002,
|
| 1569 |
+
"loss": 0.0614,
|
| 1570 |
+
"step": 4460
|
| 1571 |
+
},
|
| 1572 |
+
{
|
| 1573 |
+
"epoch": 0.8429767616897168,
|
| 1574 |
+
"grad_norm": 0.086586132645607,
|
| 1575 |
+
"learning_rate": 0.0002,
|
| 1576 |
+
"loss": 0.0636,
|
| 1577 |
+
"step": 4480
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 0.8467400508044031,
|
| 1581 |
+
"grad_norm": 0.04938528314232826,
|
| 1582 |
+
"learning_rate": 0.0002,
|
| 1583 |
+
"loss": 0.0577,
|
| 1584 |
+
"step": 4500
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 0.8505033399190893,
|
| 1588 |
+
"grad_norm": 0.07192698121070862,
|
| 1589 |
+
"learning_rate": 0.0002,
|
| 1590 |
+
"loss": 0.0574,
|
| 1591 |
+
"step": 4520
|
| 1592 |
+
},
|
| 1593 |
+
{
|
| 1594 |
+
"epoch": 0.8542666290337755,
|
| 1595 |
+
"grad_norm": 0.06893257051706314,
|
| 1596 |
+
"learning_rate": 0.0002,
|
| 1597 |
+
"loss": 0.0604,
|
| 1598 |
+
"step": 4540
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 0.8580299181484617,
|
| 1602 |
+
"grad_norm": 0.06691521406173706,
|
| 1603 |
+
"learning_rate": 0.0002,
|
| 1604 |
+
"loss": 0.0649,
|
| 1605 |
+
"step": 4560
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 0.861793207263148,
|
| 1609 |
+
"grad_norm": 0.09420821070671082,
|
| 1610 |
+
"learning_rate": 0.0002,
|
| 1611 |
+
"loss": 0.0598,
|
| 1612 |
+
"step": 4580
|
| 1613 |
+
},
|
| 1614 |
+
{
|
| 1615 |
+
"epoch": 0.8655564963778343,
|
| 1616 |
+
"grad_norm": 0.07227174192667007,
|
| 1617 |
+
"learning_rate": 0.0002,
|
| 1618 |
+
"loss": 0.062,
|
| 1619 |
+
"step": 4600
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 0.8693197854925204,
|
| 1623 |
+
"grad_norm": 0.07998435199260712,
|
| 1624 |
+
"learning_rate": 0.0002,
|
| 1625 |
+
"loss": 0.0585,
|
| 1626 |
+
"step": 4620
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 0.8730830746072067,
|
| 1630 |
+
"grad_norm": 0.07850491255521774,
|
| 1631 |
+
"learning_rate": 0.0002,
|
| 1632 |
+
"loss": 0.0586,
|
| 1633 |
+
"step": 4640
|
| 1634 |
+
},
|
| 1635 |
+
{
|
| 1636 |
+
"epoch": 0.876846363721893,
|
| 1637 |
+
"grad_norm": 0.09450593590736389,
|
| 1638 |
+
"learning_rate": 0.0002,
|
| 1639 |
+
"loss": 0.0625,
|
| 1640 |
+
"step": 4660
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 0.8806096528365792,
|
| 1644 |
+
"grad_norm": 0.08073689788579941,
|
| 1645 |
+
"learning_rate": 0.0002,
|
| 1646 |
+
"loss": 0.062,
|
| 1647 |
+
"step": 4680
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"epoch": 0.8843729419512654,
|
| 1651 |
+
"grad_norm": 0.06979519873857498,
|
| 1652 |
+
"learning_rate": 0.0002,
|
| 1653 |
+
"loss": 0.0584,
|
| 1654 |
+
"step": 4700
|
| 1655 |
+
},
|
| 1656 |
+
{
|
| 1657 |
+
"epoch": 0.8881362310659516,
|
| 1658 |
+
"grad_norm": 0.06407754868268967,
|
| 1659 |
+
"learning_rate": 0.0002,
|
| 1660 |
+
"loss": 0.0626,
|
| 1661 |
+
"step": 4720
|
| 1662 |
+
},
|
| 1663 |
+
{
|
| 1664 |
+
"epoch": 0.8918995201806379,
|
| 1665 |
+
"grad_norm": 0.2963426411151886,
|
| 1666 |
+
"learning_rate": 0.0002,
|
| 1667 |
+
"loss": 0.0625,
|
| 1668 |
+
"step": 4740
|
| 1669 |
+
},
|
| 1670 |
+
{
|
| 1671 |
+
"epoch": 0.8956628092953242,
|
| 1672 |
+
"grad_norm": 0.08902490139007568,
|
| 1673 |
+
"learning_rate": 0.0002,
|
| 1674 |
+
"loss": 0.0621,
|
| 1675 |
+
"step": 4760
|
| 1676 |
+
},
|
| 1677 |
+
{
|
| 1678 |
+
"epoch": 0.8994260984100103,
|
| 1679 |
+
"grad_norm": 0.08447249978780746,
|
| 1680 |
+
"learning_rate": 0.0002,
|
| 1681 |
+
"loss": 0.0638,
|
| 1682 |
+
"step": 4780
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 0.9031893875246966,
|
| 1686 |
+
"grad_norm": 0.07621373981237411,
|
| 1687 |
+
"learning_rate": 0.0002,
|
| 1688 |
+
"loss": 0.0618,
|
| 1689 |
+
"step": 4800
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 0.9069526766393828,
|
| 1693 |
+
"grad_norm": 0.07609863579273224,
|
| 1694 |
+
"learning_rate": 0.0002,
|
| 1695 |
+
"loss": 0.0627,
|
| 1696 |
+
"step": 4820
|
| 1697 |
+
},
|
| 1698 |
+
{
|
| 1699 |
+
"epoch": 0.9107159657540691,
|
| 1700 |
+
"grad_norm": 0.0785209983587265,
|
| 1701 |
+
"learning_rate": 0.0002,
|
| 1702 |
+
"loss": 0.0606,
|
| 1703 |
+
"step": 4840
|
| 1704 |
+
},
|
| 1705 |
+
{
|
| 1706 |
+
"epoch": 0.9144792548687553,
|
| 1707 |
+
"grad_norm": 0.08515089750289917,
|
| 1708 |
+
"learning_rate": 0.0002,
|
| 1709 |
+
"loss": 0.0577,
|
| 1710 |
+
"step": 4860
|
| 1711 |
+
},
|
| 1712 |
+
{
|
| 1713 |
+
"epoch": 0.9182425439834415,
|
| 1714 |
+
"grad_norm": 0.0810500979423523,
|
| 1715 |
+
"learning_rate": 0.0002,
|
| 1716 |
+
"loss": 0.0578,
|
| 1717 |
+
"step": 4880
|
| 1718 |
+
},
|
| 1719 |
+
{
|
| 1720 |
+
"epoch": 0.9220058330981278,
|
| 1721 |
+
"grad_norm": 0.08074364811182022,
|
| 1722 |
+
"learning_rate": 0.0002,
|
| 1723 |
+
"loss": 0.0556,
|
| 1724 |
+
"step": 4900
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 0.925769122212814,
|
| 1728 |
+
"grad_norm": 0.06328209489583969,
|
| 1729 |
+
"learning_rate": 0.0002,
|
| 1730 |
+
"loss": 0.0555,
|
| 1731 |
+
"step": 4920
|
| 1732 |
+
},
|
| 1733 |
+
{
|
| 1734 |
+
"epoch": 0.9295324113275002,
|
| 1735 |
+
"grad_norm": 0.06556906551122665,
|
| 1736 |
+
"learning_rate": 0.0002,
|
| 1737 |
+
"loss": 0.056,
|
| 1738 |
+
"step": 4940
|
| 1739 |
+
},
|
| 1740 |
+
{
|
| 1741 |
+
"epoch": 0.9332957004421865,
|
| 1742 |
+
"grad_norm": 0.0747644379734993,
|
| 1743 |
+
"learning_rate": 0.0002,
|
| 1744 |
+
"loss": 0.0608,
|
| 1745 |
+
"step": 4960
|
| 1746 |
+
},
|
| 1747 |
+
{
|
| 1748 |
+
"epoch": 0.9370589895568727,
|
| 1749 |
+
"grad_norm": 0.07274675369262695,
|
| 1750 |
+
"learning_rate": 0.0002,
|
| 1751 |
+
"loss": 0.057,
|
| 1752 |
+
"step": 4980
|
| 1753 |
+
},
|
| 1754 |
+
{
|
| 1755 |
+
"epoch": 0.940822278671559,
|
| 1756 |
+
"grad_norm": 0.061261050403118134,
|
| 1757 |
+
"learning_rate": 0.0002,
|
| 1758 |
+
"loss": 0.0587,
|
| 1759 |
+
"step": 5000
|
| 1760 |
+
},
|
| 1761 |
+
{
|
| 1762 |
+
"epoch": 0.9445855677862451,
|
| 1763 |
+
"grad_norm": 0.08277834206819534,
|
| 1764 |
+
"learning_rate": 0.0002,
|
| 1765 |
+
"loss": 0.0608,
|
| 1766 |
+
"step": 5020
|
| 1767 |
+
},
|
| 1768 |
+
{
|
| 1769 |
+
"epoch": 0.9483488569009314,
|
| 1770 |
+
"grad_norm": 0.08663126826286316,
|
| 1771 |
+
"learning_rate": 0.0002,
|
| 1772 |
+
"loss": 0.0595,
|
| 1773 |
+
"step": 5040
|
| 1774 |
+
},
|
| 1775 |
+
{
|
| 1776 |
+
"epoch": 0.9521121460156177,
|
| 1777 |
+
"grad_norm": 0.06938447803258896,
|
| 1778 |
+
"learning_rate": 0.0002,
|
| 1779 |
+
"loss": 0.0567,
|
| 1780 |
+
"step": 5060
|
| 1781 |
+
},
|
| 1782 |
+
{
|
| 1783 |
+
"epoch": 0.9558754351303039,
|
| 1784 |
+
"grad_norm": 0.07865908741950989,
|
| 1785 |
+
"learning_rate": 0.0002,
|
| 1786 |
+
"loss": 0.0588,
|
| 1787 |
+
"step": 5080
|
| 1788 |
+
},
|
| 1789 |
+
{
|
| 1790 |
+
"epoch": 0.9596387242449901,
|
| 1791 |
+
"grad_norm": 0.061116304248571396,
|
| 1792 |
+
"learning_rate": 0.0002,
|
| 1793 |
+
"loss": 0.0574,
|
| 1794 |
+
"step": 5100
|
| 1795 |
+
},
|
| 1796 |
+
{
|
| 1797 |
+
"epoch": 0.9634020133596763,
|
| 1798 |
+
"grad_norm": 0.05689473822712898,
|
| 1799 |
+
"learning_rate": 0.0002,
|
| 1800 |
+
"loss": 0.0533,
|
| 1801 |
+
"step": 5120
|
| 1802 |
+
},
|
| 1803 |
+
{
|
| 1804 |
+
"epoch": 0.9671653024743626,
|
| 1805 |
+
"grad_norm": 0.07368452847003937,
|
| 1806 |
+
"learning_rate": 0.0002,
|
| 1807 |
+
"loss": 0.0591,
|
| 1808 |
+
"step": 5140
|
| 1809 |
+
},
|
| 1810 |
+
{
|
| 1811 |
+
"epoch": 0.9709285915890489,
|
| 1812 |
+
"grad_norm": 0.06758634001016617,
|
| 1813 |
+
"learning_rate": 0.0002,
|
| 1814 |
+
"loss": 0.0572,
|
| 1815 |
+
"step": 5160
|
| 1816 |
+
},
|
| 1817 |
+
{
|
| 1818 |
+
"epoch": 0.974691880703735,
|
| 1819 |
+
"grad_norm": 0.07348816096782684,
|
| 1820 |
+
"learning_rate": 0.0002,
|
| 1821 |
+
"loss": 0.0577,
|
| 1822 |
+
"step": 5180
|
| 1823 |
+
},
|
| 1824 |
+
{
|
| 1825 |
+
"epoch": 0.9784551698184213,
|
| 1826 |
+
"grad_norm": 0.07613357156515121,
|
| 1827 |
+
"learning_rate": 0.0002,
|
| 1828 |
+
"loss": 0.0566,
|
| 1829 |
+
"step": 5200
|
| 1830 |
+
},
|
| 1831 |
+
{
|
| 1832 |
+
"epoch": 0.9822184589331076,
|
| 1833 |
+
"grad_norm": 0.062316812574863434,
|
| 1834 |
+
"learning_rate": 0.0002,
|
| 1835 |
+
"loss": 0.0621,
|
| 1836 |
+
"step": 5220
|
| 1837 |
+
},
|
| 1838 |
+
{
|
| 1839 |
+
"epoch": 0.9859817480477938,
|
| 1840 |
+
"grad_norm": 0.08600709587335587,
|
| 1841 |
+
"learning_rate": 0.0002,
|
| 1842 |
+
"loss": 0.0576,
|
| 1843 |
+
"step": 5240
|
| 1844 |
+
},
|
| 1845 |
+
{
|
| 1846 |
+
"epoch": 0.98974503716248,
|
| 1847 |
+
"grad_norm": 0.06687742471694946,
|
| 1848 |
+
"learning_rate": 0.0002,
|
| 1849 |
+
"loss": 0.0571,
|
| 1850 |
+
"step": 5260
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"epoch": 0.9935083262771662,
|
| 1854 |
+
"grad_norm": 0.07486743479967117,
|
| 1855 |
+
"learning_rate": 0.0002,
|
| 1856 |
+
"loss": 0.0594,
|
| 1857 |
+
"step": 5280
|
| 1858 |
+
},
|
| 1859 |
+
{
|
| 1860 |
+
"epoch": 0.9972716153918525,
|
| 1861 |
+
"grad_norm": 0.08373595029115677,
|
| 1862 |
+
"learning_rate": 0.0002,
|
| 1863 |
+
"loss": 0.0579,
|
| 1864 |
+
"step": 5300
|
| 1865 |
+
},
|
| 1866 |
+
{
|
| 1867 |
+
"epoch": 0.9999059177721329,
|
| 1868 |
+
"eval_loss": 0.20169740915298462,
|
| 1869 |
+
"eval_runtime": 422.4603,
|
| 1870 |
+
"eval_samples_per_second": 4.1,
|
| 1871 |
+
"eval_steps_per_second": 0.514,
|
| 1872 |
+
"step": 5314
|
| 1873 |
+
}
|
| 1874 |
+
],
|
| 1875 |
+
"logging_steps": 20,
|
| 1876 |
+
"max_steps": 14000,
|
| 1877 |
+
"num_input_tokens_seen": 0,
|
| 1878 |
+
"num_train_epochs": 3,
|
| 1879 |
+
"save_steps": 77,
|
| 1880 |
+
"stateful_callbacks": {
|
| 1881 |
+
"TrainerControl": {
|
| 1882 |
+
"args": {
|
| 1883 |
+
"should_epoch_stop": false,
|
| 1884 |
+
"should_evaluate": false,
|
| 1885 |
+
"should_log": false,
|
| 1886 |
+
"should_save": true,
|
| 1887 |
+
"should_training_stop": false
|
| 1888 |
+
},
|
| 1889 |
+
"attributes": {}
|
| 1890 |
+
}
|
| 1891 |
+
},
|
| 1892 |
+
"total_flos": 3.423221588013613e+18,
|
| 1893 |
+
"train_batch_size": 2,
|
| 1894 |
+
"trial_name": null,
|
| 1895 |
+
"trial_params": null
|
| 1896 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4c136ce4c6a2c04dfb9ebed17b96711e063852ad2a89e41fbacd56f4d6ee03cc
|
| 3 |
+
size 5688
|