Commit
•
1b134db
1
Parent(s):
d806920
Training in progress, epoch 35, checkpoint
Browse files- checkpoint-2835/config.json +53 -0
- checkpoint-2835/merges.txt +0 -0
- checkpoint-2835/model.safetensors +3 -0
- checkpoint-2835/optimizer.pt +3 -0
- checkpoint-2835/rng_state.pth +3 -0
- checkpoint-2835/scheduler.pt +3 -0
- checkpoint-2835/special_tokens_map.json +15 -0
- checkpoint-2835/tokenizer.json +0 -0
- checkpoint-2835/tokenizer_config.json +57 -0
- checkpoint-2835/trainer_state.json +1421 -0
- checkpoint-2835/training_args.bin +3 -0
- checkpoint-2835/vocab.json +0 -0
checkpoint-2835/config.json
ADDED
|
@@ -0,0 +1,53 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "allenai/longformer-base-4096",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"LongformerForTokenClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_mode": "longformer",
|
| 7 |
+
"attention_probs_dropout_prob": 0.1,
|
| 8 |
+
"attention_window": [
|
| 9 |
+
700,
|
| 10 |
+
700,
|
| 11 |
+
700,
|
| 12 |
+
700,
|
| 13 |
+
700,
|
| 14 |
+
700,
|
| 15 |
+
700,
|
| 16 |
+
700,
|
| 17 |
+
700,
|
| 18 |
+
700,
|
| 19 |
+
700,
|
| 20 |
+
700
|
| 21 |
+
],
|
| 22 |
+
"bos_token_id": 0,
|
| 23 |
+
"eos_token_id": 2,
|
| 24 |
+
"gradient_checkpointing": false,
|
| 25 |
+
"hidden_act": "gelu",
|
| 26 |
+
"hidden_dropout_prob": 0.1,
|
| 27 |
+
"hidden_size": 768,
|
| 28 |
+
"id2label": {
|
| 29 |
+
"0": "O",
|
| 30 |
+
"1": "B",
|
| 31 |
+
"2": "I"
|
| 32 |
+
},
|
| 33 |
+
"ignore_attention_mask": false,
|
| 34 |
+
"initializer_range": 0.02,
|
| 35 |
+
"intermediate_size": 3072,
|
| 36 |
+
"label2id": {
|
| 37 |
+
"B": 1,
|
| 38 |
+
"I": 2,
|
| 39 |
+
"O": 0
|
| 40 |
+
},
|
| 41 |
+
"layer_norm_eps": 1e-05,
|
| 42 |
+
"max_position_embeddings": 4098,
|
| 43 |
+
"model_type": "longformer",
|
| 44 |
+
"num_attention_heads": 12,
|
| 45 |
+
"num_hidden_layers": 12,
|
| 46 |
+
"onnx_export": false,
|
| 47 |
+
"pad_token_id": 1,
|
| 48 |
+
"sep_token_id": 2,
|
| 49 |
+
"torch_dtype": "float32",
|
| 50 |
+
"transformers_version": "4.38.2",
|
| 51 |
+
"type_vocab_size": 1,
|
| 52 |
+
"vocab_size": 50265
|
| 53 |
+
}
|
checkpoint-2835/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-2835/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:24f7db90f9ac32084f2848c8b02c2171111d0baaac4fbbd9d9b70d7b302bddf3
|
| 3 |
+
size 592318676
|
checkpoint-2835/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:08a69d6c026bbe17b03601ec9a238c4db3bcb5cccae342021c805a6bf5cb02b6
|
| 3 |
+
size 1014645498
|
checkpoint-2835/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f6639512a8e19585cb00ca9829b3a2040e58cc0db2c8c7c7d487522fd14ec2e0
|
| 3 |
+
size 14244
|
checkpoint-2835/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:191ef9aa41762f659ac99d07f660ff8f2253a9b7ea7ef317fd3bd2c92e5426de
|
| 3 |
+
size 1064
|
checkpoint-2835/special_tokens_map.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "<s>",
|
| 3 |
+
"cls_token": "<s>",
|
| 4 |
+
"eos_token": "</s>",
|
| 5 |
+
"mask_token": {
|
| 6 |
+
"content": "<mask>",
|
| 7 |
+
"lstrip": true,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false
|
| 11 |
+
},
|
| 12 |
+
"pad_token": "<pad>",
|
| 13 |
+
"sep_token": "</s>",
|
| 14 |
+
"unk_token": "<unk>"
|
| 15 |
+
}
|
checkpoint-2835/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-2835/tokenizer_config.json
ADDED
|
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": true,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
+
"content": "<s>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": true,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"1": {
|
| 13 |
+
"content": "<pad>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": true,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"2": {
|
| 21 |
+
"content": "</s>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": true,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"3": {
|
| 29 |
+
"content": "<unk>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": true,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"50264": {
|
| 37 |
+
"content": "<mask>",
|
| 38 |
+
"lstrip": true,
|
| 39 |
+
"normalized": false,
|
| 40 |
+
"rstrip": false,
|
| 41 |
+
"single_word": false,
|
| 42 |
+
"special": true
|
| 43 |
+
}
|
| 44 |
+
},
|
| 45 |
+
"bos_token": "<s>",
|
| 46 |
+
"clean_up_tokenization_spaces": true,
|
| 47 |
+
"cls_token": "<s>",
|
| 48 |
+
"eos_token": "</s>",
|
| 49 |
+
"errors": "replace",
|
| 50 |
+
"mask_token": "<mask>",
|
| 51 |
+
"model_max_length": 4096,
|
| 52 |
+
"pad_token": "<pad>",
|
| 53 |
+
"sep_token": "</s>",
|
| 54 |
+
"tokenizer_class": "LongformerTokenizer",
|
| 55 |
+
"trim_offsets": true,
|
| 56 |
+
"unk_token": "<unk>"
|
| 57 |
+
}
|
checkpoint-2835/trainer_state.json
ADDED
|
@@ -0,0 +1,1421 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 35.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 2835,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 1.0,
|
| 13 |
+
"eval_B": {
|
| 14 |
+
"f1-score": 0.8087666523420713,
|
| 15 |
+
"precision": 0.8189730200174065,
|
| 16 |
+
"recall": 0.7988115449915111,
|
| 17 |
+
"support": 1178.0
|
| 18 |
+
},
|
| 19 |
+
"eval_I": {
|
| 20 |
+
"f1-score": 0.9374597034171502,
|
| 21 |
+
"precision": 0.9521418826739427,
|
| 22 |
+
"recall": 0.9232234509762421,
|
| 23 |
+
"support": 18899.0
|
| 24 |
+
},
|
| 25 |
+
"eval_O": {
|
| 26 |
+
"f1-score": 0.8881362400419788,
|
| 27 |
+
"precision": 0.863303347862376,
|
| 28 |
+
"recall": 0.9144400785854617,
|
| 29 |
+
"support": 10180.0
|
| 30 |
+
},
|
| 31 |
+
"eval_accuracy": 0.9154245298608586,
|
| 32 |
+
"eval_loss": 0.2228638380765915,
|
| 33 |
+
"eval_macro avg": {
|
| 34 |
+
"f1-score": 0.8781208652670669,
|
| 35 |
+
"precision": 0.8781394168512416,
|
| 36 |
+
"recall": 0.8788250248510717,
|
| 37 |
+
"support": 30257.0
|
| 38 |
+
},
|
| 39 |
+
"eval_runtime": 4.7167,
|
| 40 |
+
"eval_samples_per_second": 17.173,
|
| 41 |
+
"eval_steps_per_second": 2.332,
|
| 42 |
+
"eval_weighted avg": {
|
| 43 |
+
"f1-score": 0.9158543469268937,
|
| 44 |
+
"precision": 0.9170673807540184,
|
| 45 |
+
"recall": 0.9154245298608586,
|
| 46 |
+
"support": 30257.0
|
| 47 |
+
},
|
| 48 |
+
"step": 81
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"epoch": 2.0,
|
| 52 |
+
"eval_B": {
|
| 53 |
+
"f1-score": 0.8401515151515152,
|
| 54 |
+
"precision": 0.7585499316005472,
|
| 55 |
+
"recall": 0.9414261460101867,
|
| 56 |
+
"support": 1178.0
|
| 57 |
+
},
|
| 58 |
+
"eval_I": {
|
| 59 |
+
"f1-score": 0.9568235603470944,
|
| 60 |
+
"precision": 0.9510219016256338,
|
| 61 |
+
"recall": 0.9626964389650247,
|
| 62 |
+
"support": 18899.0
|
| 63 |
+
},
|
| 64 |
+
"eval_O": {
|
| 65 |
+
"f1-score": 0.9185648054827655,
|
| 66 |
+
"precision": 0.9430877483443708,
|
| 67 |
+
"recall": 0.8952848722986247,
|
| 68 |
+
"support": 10180.0
|
| 69 |
+
},
|
| 70 |
+
"eval_accuracy": 0.9391876260038999,
|
| 71 |
+
"eval_loss": 0.16692574322223663,
|
| 72 |
+
"eval_macro avg": {
|
| 73 |
+
"f1-score": 0.905179960327125,
|
| 74 |
+
"precision": 0.8842198605235172,
|
| 75 |
+
"recall": 0.9331358190912787,
|
| 76 |
+
"support": 30257.0
|
| 77 |
+
},
|
| 78 |
+
"eval_runtime": 4.7116,
|
| 79 |
+
"eval_samples_per_second": 17.192,
|
| 80 |
+
"eval_steps_per_second": 2.335,
|
| 81 |
+
"eval_weighted avg": {
|
| 82 |
+
"f1-score": 0.9394089523635119,
|
| 83 |
+
"precision": 0.9408589092241132,
|
| 84 |
+
"recall": 0.9391876260038999,
|
| 85 |
+
"support": 30257.0
|
| 86 |
+
},
|
| 87 |
+
"step": 162
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 3.0,
|
| 91 |
+
"eval_B": {
|
| 92 |
+
"f1-score": 0.8612244897959184,
|
| 93 |
+
"precision": 0.8294025157232704,
|
| 94 |
+
"recall": 0.8955857385398981,
|
| 95 |
+
"support": 1178.0
|
| 96 |
+
},
|
| 97 |
+
"eval_I": {
|
| 98 |
+
"f1-score": 0.951106371634231,
|
| 99 |
+
"precision": 0.9584654236741712,
|
| 100 |
+
"recall": 0.9438594634636753,
|
| 101 |
+
"support": 18899.0
|
| 102 |
+
},
|
| 103 |
+
"eval_O": {
|
| 104 |
+
"f1-score": 0.9106743212999903,
|
| 105 |
+
"precision": 0.9021592442645074,
|
| 106 |
+
"recall": 0.9193516699410609,
|
| 107 |
+
"support": 10180.0
|
| 108 |
+
},
|
| 109 |
+
"eval_accuracy": 0.9337343424662061,
|
| 110 |
+
"eval_loss": 0.1742253601551056,
|
| 111 |
+
"eval_macro avg": {
|
| 112 |
+
"f1-score": 0.9076683942433799,
|
| 113 |
+
"precision": 0.8966757278873163,
|
| 114 |
+
"recall": 0.9195989573148781,
|
| 115 |
+
"support": 30257.0
|
| 116 |
+
},
|
| 117 |
+
"eval_runtime": 4.7094,
|
| 118 |
+
"eval_samples_per_second": 17.2,
|
| 119 |
+
"eval_steps_per_second": 2.336,
|
| 120 |
+
"eval_weighted avg": {
|
| 121 |
+
"f1-score": 0.9340035812317422,
|
| 122 |
+
"precision": 0.9344963252190521,
|
| 123 |
+
"recall": 0.9337343424662061,
|
| 124 |
+
"support": 30257.0
|
| 125 |
+
},
|
| 126 |
+
"step": 243
|
| 127 |
+
},
|
| 128 |
+
{
|
| 129 |
+
"epoch": 4.0,
|
| 130 |
+
"eval_B": {
|
| 131 |
+
"f1-score": 0.8717948717948719,
|
| 132 |
+
"precision": 0.8254931714719271,
|
| 133 |
+
"recall": 0.9235993208828522,
|
| 134 |
+
"support": 1178.0
|
| 135 |
+
},
|
| 136 |
+
"eval_I": {
|
| 137 |
+
"f1-score": 0.9561271586371415,
|
| 138 |
+
"precision": 0.9374586871408959,
|
| 139 |
+
"recall": 0.9755542621302714,
|
| 140 |
+
"support": 18899.0
|
| 141 |
+
},
|
| 142 |
+
"eval_O": {
|
| 143 |
+
"f1-score": 0.9117828500925355,
|
| 144 |
+
"precision": 0.956427955133736,
|
| 145 |
+
"recall": 0.8711198428290766,
|
| 146 |
+
"support": 10180.0
|
| 147 |
+
},
|
| 148 |
+
"eval_accuracy": 0.9383944211256899,
|
| 149 |
+
"eval_loss": 0.18792153894901276,
|
| 150 |
+
"eval_macro avg": {
|
| 151 |
+
"f1-score": 0.9132349601748496,
|
| 152 |
+
"precision": 0.9064599379155197,
|
| 153 |
+
"recall": 0.9234244752807333,
|
| 154 |
+
"support": 30257.0
|
| 155 |
+
},
|
| 156 |
+
"eval_runtime": 4.7342,
|
| 157 |
+
"eval_samples_per_second": 17.11,
|
| 158 |
+
"eval_steps_per_second": 2.324,
|
| 159 |
+
"eval_weighted avg": {
|
| 160 |
+
"f1-score": 0.9379241479327001,
|
| 161 |
+
"precision": 0.9394817486046585,
|
| 162 |
+
"recall": 0.9383944211256899,
|
| 163 |
+
"support": 30257.0
|
| 164 |
+
},
|
| 165 |
+
"step": 324
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 5.0,
|
| 169 |
+
"eval_B": {
|
| 170 |
+
"f1-score": 0.8742949234488315,
|
| 171 |
+
"precision": 0.8320552147239264,
|
| 172 |
+
"recall": 0.9210526315789473,
|
| 173 |
+
"support": 1178.0
|
| 174 |
+
},
|
| 175 |
+
"eval_I": {
|
| 176 |
+
"f1-score": 0.9583957528450158,
|
| 177 |
+
"precision": 0.9521148825065274,
|
| 178 |
+
"recall": 0.9647600402137679,
|
| 179 |
+
"support": 18899.0
|
| 180 |
+
},
|
| 181 |
+
"eval_O": {
|
| 182 |
+
"f1-score": 0.9198818996146724,
|
| 183 |
+
"precision": 0.9375701315923697,
|
| 184 |
+
"recall": 0.9028487229862475,
|
| 185 |
+
"support": 10180.0
|
| 186 |
+
},
|
| 187 |
+
"eval_accuracy": 0.9422282447037049,
|
| 188 |
+
"eval_loss": 0.19990424811840057,
|
| 189 |
+
"eval_macro avg": {
|
| 190 |
+
"f1-score": 0.9175241919695066,
|
| 191 |
+
"precision": 0.9072467429409411,
|
| 192 |
+
"recall": 0.9295537982596542,
|
| 193 |
+
"support": 30257.0
|
| 194 |
+
},
|
| 195 |
+
"eval_runtime": 4.7101,
|
| 196 |
+
"eval_samples_per_second": 17.197,
|
| 197 |
+
"eval_steps_per_second": 2.335,
|
| 198 |
+
"eval_weighted avg": {
|
| 199 |
+
"f1-score": 0.9421634164298524,
|
| 200 |
+
"precision": 0.9425469857238316,
|
| 201 |
+
"recall": 0.9422282447037049,
|
| 202 |
+
"support": 30257.0
|
| 203 |
+
},
|
| 204 |
+
"step": 405
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"epoch": 6.0,
|
| 208 |
+
"eval_B": {
|
| 209 |
+
"f1-score": 0.8808247422680412,
|
| 210 |
+
"precision": 0.8564554931836408,
|
| 211 |
+
"recall": 0.9066213921901528,
|
| 212 |
+
"support": 1178.0
|
| 213 |
+
},
|
| 214 |
+
"eval_I": {
|
| 215 |
+
"f1-score": 0.957406827435014,
|
| 216 |
+
"precision": 0.9446361435855178,
|
| 217 |
+
"recall": 0.9705275411397428,
|
| 218 |
+
"support": 18899.0
|
| 219 |
+
},
|
| 220 |
+
"eval_O": {
|
| 221 |
+
"f1-score": 0.9163000050574014,
|
| 222 |
+
"precision": 0.9443344105076619,
|
| 223 |
+
"recall": 0.8898821218074656,
|
| 224 |
+
"support": 10180.0
|
| 225 |
+
},
|
| 226 |
+
"eval_accuracy": 0.9409062365733549,
|
| 227 |
+
"eval_loss": 0.20615626871585846,
|
| 228 |
+
"eval_macro avg": {
|
| 229 |
+
"f1-score": 0.9181771915868189,
|
| 230 |
+
"precision": 0.9151420157589403,
|
| 231 |
+
"recall": 0.922343685045787,
|
| 232 |
+
"support": 30257.0
|
| 233 |
+
},
|
| 234 |
+
"eval_runtime": 4.6949,
|
| 235 |
+
"eval_samples_per_second": 17.253,
|
| 236 |
+
"eval_steps_per_second": 2.343,
|
| 237 |
+
"eval_weighted avg": {
|
| 238 |
+
"f1-score": 0.9405948120953971,
|
| 239 |
+
"precision": 0.941101475610967,
|
| 240 |
+
"recall": 0.9409062365733549,
|
| 241 |
+
"support": 30257.0
|
| 242 |
+
},
|
| 243 |
+
"step": 486
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"epoch": 6.17,
|
| 247 |
+
"grad_norm": 2.4104158878326416,
|
| 248 |
+
"learning_rate": 1.7530864197530865e-05,
|
| 249 |
+
"loss": 0.1662,
|
| 250 |
+
"step": 500
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"epoch": 7.0,
|
| 254 |
+
"eval_B": {
|
| 255 |
+
"f1-score": 0.8836820083682009,
|
| 256 |
+
"precision": 0.8712871287128713,
|
| 257 |
+
"recall": 0.8964346349745331,
|
| 258 |
+
"support": 1178.0
|
| 259 |
+
},
|
| 260 |
+
"eval_I": {
|
| 261 |
+
"f1-score": 0.9614174269469787,
|
| 262 |
+
"precision": 0.9609854091774159,
|
| 263 |
+
"recall": 0.9618498333245146,
|
| 264 |
+
"support": 18899.0
|
| 265 |
+
},
|
| 266 |
+
"eval_O": {
|
| 267 |
+
"f1-score": 0.9271751440248166,
|
| 268 |
+
"precision": 0.9295093296475466,
|
| 269 |
+
"recall": 0.924852652259332,
|
| 270 |
+
"support": 10180.0
|
| 271 |
+
},
|
| 272 |
+
"eval_accuracy": 0.9468552731599299,
|
| 273 |
+
"eval_loss": 0.22925782203674316,
|
| 274 |
+
"eval_macro avg": {
|
| 275 |
+
"f1-score": 0.9240915264466655,
|
| 276 |
+
"precision": 0.9205939558459445,
|
| 277 |
+
"recall": 0.9277123735194599,
|
| 278 |
+
"support": 30257.0
|
| 279 |
+
},
|
| 280 |
+
"eval_runtime": 4.7288,
|
| 281 |
+
"eval_samples_per_second": 17.129,
|
| 282 |
+
"eval_steps_per_second": 2.326,
|
| 283 |
+
"eval_weighted avg": {
|
| 284 |
+
"f1-score": 0.9468700903559945,
|
| 285 |
+
"precision": 0.9469030129054358,
|
| 286 |
+
"recall": 0.9468552731599299,
|
| 287 |
+
"support": 30257.0
|
| 288 |
+
},
|
| 289 |
+
"step": 567
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 8.0,
|
| 293 |
+
"eval_B": {
|
| 294 |
+
"f1-score": 0.8803630363036303,
|
| 295 |
+
"precision": 0.8563402889245586,
|
| 296 |
+
"recall": 0.9057724957555179,
|
| 297 |
+
"support": 1178.0
|
| 298 |
+
},
|
| 299 |
+
"eval_I": {
|
| 300 |
+
"f1-score": 0.9580651967507121,
|
| 301 |
+
"precision": 0.9550928116947994,
|
| 302 |
+
"recall": 0.9610561405365363,
|
| 303 |
+
"support": 18899.0
|
| 304 |
+
},
|
| 305 |
+
"eval_O": {
|
| 306 |
+
"f1-score": 0.9208882720333101,
|
| 307 |
+
"precision": 0.9294576746047628,
|
| 308 |
+
"recall": 0.912475442043222,
|
| 309 |
+
"support": 10180.0
|
| 310 |
+
},
|
| 311 |
+
"eval_accuracy": 0.9425587467362925,
|
| 312 |
+
"eval_loss": 0.22973769903182983,
|
| 313 |
+
"eval_macro avg": {
|
| 314 |
+
"f1-score": 0.9197721683625509,
|
| 315 |
+
"precision": 0.9136302584080402,
|
| 316 |
+
"recall": 0.9264346927784253,
|
| 317 |
+
"support": 30257.0
|
| 318 |
+
},
|
| 319 |
+
"eval_runtime": 4.7191,
|
| 320 |
+
"eval_samples_per_second": 17.164,
|
| 321 |
+
"eval_steps_per_second": 2.331,
|
| 322 |
+
"eval_weighted avg": {
|
| 323 |
+
"f1-score": 0.9425317916335554,
|
| 324 |
+
"precision": 0.942623096673485,
|
| 325 |
+
"recall": 0.9425587467362925,
|
| 326 |
+
"support": 30257.0
|
| 327 |
+
},
|
| 328 |
+
"step": 648
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"epoch": 9.0,
|
| 332 |
+
"eval_B": {
|
| 333 |
+
"f1-score": 0.8885191347753745,
|
| 334 |
+
"precision": 0.8711256117455138,
|
| 335 |
+
"recall": 0.9066213921901528,
|
| 336 |
+
"support": 1178.0
|
| 337 |
+
},
|
| 338 |
+
"eval_I": {
|
| 339 |
+
"f1-score": 0.9620326487625066,
|
| 340 |
+
"precision": 0.9574445783763954,
|
| 341 |
+
"recall": 0.9666649029049156,
|
| 342 |
+
"support": 18899.0
|
| 343 |
+
},
|
| 344 |
+
"eval_O": {
|
| 345 |
+
"f1-score": 0.9275707898658718,
|
| 346 |
+
"precision": 0.9382914572864322,
|
| 347 |
+
"recall": 0.9170923379174852,
|
| 348 |
+
"support": 10180.0
|
| 349 |
+
},
|
| 350 |
+
"eval_accuracy": 0.9476484780381399,
|
| 351 |
+
"eval_loss": 0.24401217699050903,
|
| 352 |
+
"eval_macro avg": {
|
| 353 |
+
"f1-score": 0.9260408578012509,
|
| 354 |
+
"precision": 0.9222872158027805,
|
| 355 |
+
"recall": 0.9301262110041845,
|
| 356 |
+
"support": 30257.0
|
| 357 |
+
},
|
| 358 |
+
"eval_runtime": 4.701,
|
| 359 |
+
"eval_samples_per_second": 17.23,
|
| 360 |
+
"eval_steps_per_second": 2.34,
|
| 361 |
+
"eval_weighted avg": {
|
| 362 |
+
"f1-score": 0.94757580760031,
|
| 363 |
+
"precision": 0.9476398219436029,
|
| 364 |
+
"recall": 0.9476484780381399,
|
| 365 |
+
"support": 30257.0
|
| 366 |
+
},
|
| 367 |
+
"step": 729
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 10.0,
|
| 371 |
+
"eval_B": {
|
| 372 |
+
"f1-score": 0.875959595959596,
|
| 373 |
+
"precision": 0.8357748650732459,
|
| 374 |
+
"recall": 0.9202037351443124,
|
| 375 |
+
"support": 1178.0
|
| 376 |
+
},
|
| 377 |
+
"eval_I": {
|
| 378 |
+
"f1-score": 0.955652945166171,
|
| 379 |
+
"precision": 0.9424749163879599,
|
| 380 |
+
"recall": 0.9692047198264458,
|
| 381 |
+
"support": 18899.0
|
| 382 |
+
},
|
| 383 |
+
"eval_O": {
|
| 384 |
+
"f1-score": 0.9127632580563309,
|
| 385 |
+
"precision": 0.9441469816272966,
|
| 386 |
+
"recall": 0.8833988212180747,
|
| 387 |
+
"support": 10180.0
|
| 388 |
+
},
|
| 389 |
+
"eval_accuracy": 0.9384274713289487,
|
| 390 |
+
"eval_loss": 0.29471203684806824,
|
| 391 |
+
"eval_macro avg": {
|
| 392 |
+
"f1-score": 0.9147919330606994,
|
| 393 |
+
"precision": 0.9074655876961675,
|
| 394 |
+
"recall": 0.9242690920629443,
|
| 395 |
+
"support": 30257.0
|
| 396 |
+
},
|
| 397 |
+
"eval_runtime": 4.6985,
|
| 398 |
+
"eval_samples_per_second": 17.24,
|
| 399 |
+
"eval_steps_per_second": 2.341,
|
| 400 |
+
"eval_weighted avg": {
|
| 401 |
+
"f1-score": 0.9381199518045186,
|
| 402 |
+
"precision": 0.9388833165494999,
|
| 403 |
+
"recall": 0.9384274713289487,
|
| 404 |
+
"support": 30257.0
|
| 405 |
+
},
|
| 406 |
+
"step": 810
|
| 407 |
+
},
|
| 408 |
+
{
|
| 409 |
+
"epoch": 11.0,
|
| 410 |
+
"eval_B": {
|
| 411 |
+
"f1-score": 0.875515251442704,
|
| 412 |
+
"precision": 0.8509615384615384,
|
| 413 |
+
"recall": 0.9015280135823429,
|
| 414 |
+
"support": 1178.0
|
| 415 |
+
},
|
| 416 |
+
"eval_I": {
|
| 417 |
+
"f1-score": 0.9575287538250502,
|
| 418 |
+
"precision": 0.9547582723972855,
|
| 419 |
+
"recall": 0.96031536060109,
|
| 420 |
+
"support": 18899.0
|
| 421 |
+
},
|
| 422 |
+
"eval_O": {
|
| 423 |
+
"f1-score": 0.9195242814667988,
|
| 424 |
+
"precision": 0.9278,
|
| 425 |
+
"recall": 0.9113948919449901,
|
| 426 |
+
"support": 10180.0
|
| 427 |
+
},
|
| 428 |
+
"eval_accuracy": 0.9415672406385299,
|
| 429 |
+
"eval_loss": 0.30941879749298096,
|
| 430 |
+
"eval_macro avg": {
|
| 431 |
+
"f1-score": 0.9175227622448511,
|
| 432 |
+
"precision": 0.9111732702862746,
|
| 433 |
+
"recall": 0.9244127553761411,
|
| 434 |
+
"support": 30257.0
|
| 435 |
+
},
|
| 436 |
+
"eval_runtime": 4.7017,
|
| 437 |
+
"eval_samples_per_second": 17.228,
|
| 438 |
+
"eval_steps_per_second": 2.34,
|
| 439 |
+
"eval_weighted avg": {
|
| 440 |
+
"f1-score": 0.9415490653426031,
|
| 441 |
+
"precision": 0.9416470001105195,
|
| 442 |
+
"recall": 0.9415672406385299,
|
| 443 |
+
"support": 30257.0
|
| 444 |
+
},
|
| 445 |
+
"step": 891
|
| 446 |
+
},
|
| 447 |
+
{
|
| 448 |
+
"epoch": 12.0,
|
| 449 |
+
"eval_B": {
|
| 450 |
+
"f1-score": 0.8818181818181817,
|
| 451 |
+
"precision": 0.8590982286634461,
|
| 452 |
+
"recall": 0.9057724957555179,
|
| 453 |
+
"support": 1178.0
|
| 454 |
+
},
|
| 455 |
+
"eval_I": {
|
| 456 |
+
"f1-score": 0.9542487087386278,
|
| 457 |
+
"precision": 0.9457436856875585,
|
| 458 |
+
"recall": 0.9629080903751521,
|
| 459 |
+
"support": 18899.0
|
| 460 |
+
},
|
| 461 |
+
"eval_O": {
|
| 462 |
+
"f1-score": 0.910740239562973,
|
| 463 |
+
"precision": 0.9297042873222142,
|
| 464 |
+
"recall": 0.8925343811394892,
|
| 465 |
+
"support": 10180.0
|
| 466 |
+
},
|
| 467 |
+
"eval_accuracy": 0.9370063125888224,
|
| 468 |
+
"eval_loss": 0.28610122203826904,
|
| 469 |
+
"eval_macro avg": {
|
| 470 |
+
"f1-score": 0.9156023767065942,
|
| 471 |
+
"precision": 0.9115154005577396,
|
| 472 |
+
"recall": 0.9204049890900531,
|
| 473 |
+
"support": 30257.0
|
| 474 |
+
},
|
| 475 |
+
"eval_runtime": 4.6911,
|
| 476 |
+
"eval_samples_per_second": 17.267,
|
| 477 |
+
"eval_steps_per_second": 2.345,
|
| 478 |
+
"eval_weighted avg": {
|
| 479 |
+
"f1-score": 0.9367902899621314,
|
| 480 |
+
"precision": 0.9369738332985704,
|
| 481 |
+
"recall": 0.9370063125888224,
|
| 482 |
+
"support": 30257.0
|
| 483 |
+
},
|
| 484 |
+
"step": 972
|
| 485 |
+
},
|
| 486 |
+
{
|
| 487 |
+
"epoch": 12.35,
|
| 488 |
+
"grad_norm": 0.9797911643981934,
|
| 489 |
+
"learning_rate": 1.506172839506173e-05,
|
| 490 |
+
"loss": 0.0233,
|
| 491 |
+
"step": 1000
|
| 492 |
+
},
|
| 493 |
+
{
|
| 494 |
+
"epoch": 13.0,
|
| 495 |
+
"eval_B": {
|
| 496 |
+
"f1-score": 0.8875154511742892,
|
| 497 |
+
"precision": 0.8622898318654924,
|
| 498 |
+
"recall": 0.9142614601018676,
|
| 499 |
+
"support": 1178.0
|
| 500 |
+
},
|
| 501 |
+
"eval_I": {
|
| 502 |
+
"f1-score": 0.9602009576889865,
|
| 503 |
+
"precision": 0.9497877627083549,
|
| 504 |
+
"recall": 0.9708450182549341,
|
| 505 |
+
"support": 18899.0
|
| 506 |
+
},
|
| 507 |
+
"eval_O": {
|
| 508 |
+
"f1-score": 0.9229994967287367,
|
| 509 |
+
"precision": 0.9463364293085655,
|
| 510 |
+
"recall": 0.9007858546168959,
|
| 511 |
+
"support": 10180.0
|
| 512 |
+
},
|
| 513 |
+
"eval_accuracy": 0.9450705621839575,
|
| 514 |
+
"eval_loss": 0.3311145305633545,
|
| 515 |
+
"eval_macro avg": {
|
| 516 |
+
"f1-score": 0.9235719685306708,
|
| 517 |
+
"precision": 0.9194713412941375,
|
| 518 |
+
"recall": 0.9286307776578991,
|
| 519 |
+
"support": 30257.0
|
| 520 |
+
},
|
| 521 |
+
"eval_runtime": 4.7187,
|
| 522 |
+
"eval_samples_per_second": 17.166,
|
| 523 |
+
"eval_steps_per_second": 2.331,
|
| 524 |
+
"eval_weighted avg": {
|
| 525 |
+
"f1-score": 0.9448546114137558,
|
| 526 |
+
"precision": 0.9452199887538072,
|
| 527 |
+
"recall": 0.9450705621839575,
|
| 528 |
+
"support": 30257.0
|
| 529 |
+
},
|
| 530 |
+
"step": 1053
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 14.0,
|
| 534 |
+
"eval_B": {
|
| 535 |
+
"f1-score": 0.8758762886597938,
|
| 536 |
+
"precision": 0.8516439454691259,
|
| 537 |
+
"recall": 0.9015280135823429,
|
| 538 |
+
"support": 1178.0
|
| 539 |
+
},
|
| 540 |
+
"eval_I": {
|
| 541 |
+
"f1-score": 0.9588910891089109,
|
| 542 |
+
"precision": 0.9569456155143339,
|
| 543 |
+
"recall": 0.9608444891264089,
|
| 544 |
+
"support": 18899.0
|
| 545 |
+
},
|
| 546 |
+
"eval_O": {
|
| 547 |
+
"f1-score": 0.9223310576827941,
|
| 548 |
+
"precision": 0.9290412597169623,
|
| 549 |
+
"recall": 0.9157170923379175,
|
| 550 |
+
"support": 10180.0
|
| 551 |
+
},
|
| 552 |
+
"eval_accuracy": 0.9433519516145025,
|
| 553 |
+
"eval_loss": 0.32673054933547974,
|
| 554 |
+
"eval_macro avg": {
|
| 555 |
+
"f1-score": 0.9190328118171663,
|
| 556 |
+
"precision": 0.9125436069001407,
|
| 557 |
+
"recall": 0.9260298650155564,
|
| 558 |
+
"support": 30257.0
|
| 559 |
+
},
|
| 560 |
+
"eval_runtime": 4.7171,
|
| 561 |
+
"eval_samples_per_second": 17.171,
|
| 562 |
+
"eval_steps_per_second": 2.332,
|
| 563 |
+
"eval_weighted avg": {
|
| 564 |
+
"f1-score": 0.9433584006451857,
|
| 565 |
+
"precision": 0.943457440568685,
|
| 566 |
+
"recall": 0.9433519516145025,
|
| 567 |
+
"support": 30257.0
|
| 568 |
+
},
|
| 569 |
+
"step": 1134
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 15.0,
|
| 573 |
+
"eval_B": {
|
| 574 |
+
"f1-score": 0.8844750709363599,
|
| 575 |
+
"precision": 0.8463925523661753,
|
| 576 |
+
"recall": 0.9261460101867572,
|
| 577 |
+
"support": 1178.0
|
| 578 |
+
},
|
| 579 |
+
"eval_I": {
|
| 580 |
+
"f1-score": 0.9554282158321882,
|
| 581 |
+
"precision": 0.9367500508440105,
|
| 582 |
+
"recall": 0.974866395047357,
|
| 583 |
+
"support": 18899.0
|
| 584 |
+
},
|
| 585 |
+
"eval_O": {
|
| 586 |
+
"f1-score": 0.9105749486652978,
|
| 587 |
+
"precision": 0.9536559139784946,
|
| 588 |
+
"recall": 0.8712180746561886,
|
| 589 |
+
"support": 10180.0
|
| 590 |
+
},
|
| 591 |
+
"eval_accuracy": 0.9380969692963612,
|
| 592 |
+
"eval_loss": 0.4276476800441742,
|
| 593 |
+
"eval_macro avg": {
|
| 594 |
+
"f1-score": 0.9168260784779486,
|
| 595 |
+
"precision": 0.9122661723962269,
|
| 596 |
+
"recall": 0.924076826630101,
|
| 597 |
+
"support": 30257.0
|
| 598 |
+
},
|
| 599 |
+
"eval_runtime": 4.6973,
|
| 600 |
+
"eval_samples_per_second": 17.244,
|
| 601 |
+
"eval_steps_per_second": 2.342,
|
| 602 |
+
"eval_weighted avg": {
|
| 603 |
+
"f1-score": 0.9375748574540862,
|
| 604 |
+
"precision": 0.9389201454833387,
|
| 605 |
+
"recall": 0.9380969692963612,
|
| 606 |
+
"support": 30257.0
|
| 607 |
+
},
|
| 608 |
+
"step": 1215
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 16.0,
|
| 612 |
+
"eval_B": {
|
| 613 |
+
"f1-score": 0.8840336134453782,
|
| 614 |
+
"precision": 0.8752079866888519,
|
| 615 |
+
"recall": 0.8930390492359932,
|
| 616 |
+
"support": 1178.0
|
| 617 |
+
},
|
| 618 |
+
"eval_I": {
|
| 619 |
+
"f1-score": 0.9589266737513285,
|
| 620 |
+
"precision": 0.9629688917346994,
|
| 621 |
+
"recall": 0.9549182496428382,
|
| 622 |
+
"support": 18899.0
|
| 623 |
+
},
|
| 624 |
+
"eval_O": {
|
| 625 |
+
"f1-score": 0.923489801893237,
|
| 626 |
+
"precision": 0.9174907892185379,
|
| 627 |
+
"recall": 0.9295677799607073,
|
| 628 |
+
"support": 10180.0
|
| 629 |
+
},
|
| 630 |
+
"eval_accuracy": 0.9439799054764186,
|
| 631 |
+
"eval_loss": 0.3447544574737549,
|
| 632 |
+
"eval_macro avg": {
|
| 633 |
+
"f1-score": 0.9221500296966479,
|
| 634 |
+
"precision": 0.9185558892140296,
|
| 635 |
+
"recall": 0.9258416929465129,
|
| 636 |
+
"support": 30257.0
|
| 637 |
+
},
|
| 638 |
+
"eval_runtime": 4.7359,
|
| 639 |
+
"eval_samples_per_second": 17.103,
|
| 640 |
+
"eval_steps_per_second": 2.323,
|
| 641 |
+
"eval_weighted avg": {
|
| 642 |
+
"f1-score": 0.9440880783665984,
|
| 643 |
+
"precision": 0.9442509279657028,
|
| 644 |
+
"recall": 0.9439799054764186,
|
| 645 |
+
"support": 30257.0
|
| 646 |
+
},
|
| 647 |
+
"step": 1296
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 17.0,
|
| 651 |
+
"eval_B": {
|
| 652 |
+
"f1-score": 0.8751040799333889,
|
| 653 |
+
"precision": 0.8586601307189542,
|
| 654 |
+
"recall": 0.8921901528013583,
|
| 655 |
+
"support": 1178.0
|
| 656 |
+
},
|
| 657 |
+
"eval_I": {
|
| 658 |
+
"f1-score": 0.9534606521336053,
|
| 659 |
+
"precision": 0.954598493688342,
|
| 660 |
+
"recall": 0.9523255198687761,
|
| 661 |
+
"support": 18899.0
|
| 662 |
+
},
|
| 663 |
+
"eval_O": {
|
| 664 |
+
"f1-score": 0.9118326047448303,
|
| 665 |
+
"precision": 0.9118773946360154,
|
| 666 |
+
"recall": 0.9117878192534381,
|
| 667 |
+
"support": 10180.0
|
| 668 |
+
},
|
| 669 |
+
"eval_accuracy": 0.9363453085236474,
|
| 670 |
+
"eval_loss": 0.3998367488384247,
|
| 671 |
+
"eval_macro avg": {
|
| 672 |
+
"f1-score": 0.9134657789372748,
|
| 673 |
+
"precision": 0.9083786730144373,
|
| 674 |
+
"recall": 0.9187678306411908,
|
| 675 |
+
"support": 30257.0
|
| 676 |
+
},
|
| 677 |
+
"eval_runtime": 4.7114,
|
| 678 |
+
"eval_samples_per_second": 17.192,
|
| 679 |
+
"eval_steps_per_second": 2.335,
|
| 680 |
+
"eval_weighted avg": {
|
| 681 |
+
"f1-score": 0.9364041837306049,
|
| 682 |
+
"precision": 0.936489752572877,
|
| 683 |
+
"recall": 0.9363453085236474,
|
| 684 |
+
"support": 30257.0
|
| 685 |
+
},
|
| 686 |
+
"step": 1377
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"epoch": 18.0,
|
| 690 |
+
"eval_B": {
|
| 691 |
+
"f1-score": 0.8807644370585792,
|
| 692 |
+
"precision": 0.8624898291293734,
|
| 693 |
+
"recall": 0.8998302207130731,
|
| 694 |
+
"support": 1178.0
|
| 695 |
+
},
|
| 696 |
+
"eval_I": {
|
| 697 |
+
"f1-score": 0.958089514470979,
|
| 698 |
+
"precision": 0.9545669415410474,
|
| 699 |
+
"recall": 0.961638181914387,
|
| 700 |
+
"support": 18899.0
|
| 701 |
+
},
|
| 702 |
+
"eval_O": {
|
| 703 |
+
"f1-score": 0.9206207546234321,
|
| 704 |
+
"precision": 0.9294223646010612,
|
| 705 |
+
"recall": 0.9119842829076621,
|
| 706 |
+
"support": 10180.0
|
| 707 |
+
},
|
| 708 |
+
"eval_accuracy": 0.9425256965330336,
|
| 709 |
+
"eval_loss": 0.3564019203186035,
|
| 710 |
+
"eval_macro avg": {
|
| 711 |
+
"f1-score": 0.9198249020509968,
|
| 712 |
+
"precision": 0.915493045090494,
|
| 713 |
+
"recall": 0.9244842285117074,
|
| 714 |
+
"support": 30257.0
|
| 715 |
+
},
|
| 716 |
+
"eval_runtime": 4.6986,
|
| 717 |
+
"eval_samples_per_second": 17.239,
|
| 718 |
+
"eval_steps_per_second": 2.341,
|
| 719 |
+
"eval_weighted avg": {
|
| 720 |
+
"f1-score": 0.9424726021386316,
|
| 721 |
+
"precision": 0.9425221706890129,
|
| 722 |
+
"recall": 0.9425256965330336,
|
| 723 |
+
"support": 30257.0
|
| 724 |
+
},
|
| 725 |
+
"step": 1458
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"epoch": 18.52,
|
| 729 |
+
"grad_norm": 0.01765240728855133,
|
| 730 |
+
"learning_rate": 1.2592592592592593e-05,
|
| 731 |
+
"loss": 0.0067,
|
| 732 |
+
"step": 1500
|
| 733 |
+
},
|
| 734 |
+
{
|
| 735 |
+
"epoch": 19.0,
|
| 736 |
+
"eval_B": {
|
| 737 |
+
"f1-score": 0.8756097560975611,
|
| 738 |
+
"precision": 0.8400936037441498,
|
| 739 |
+
"recall": 0.9142614601018676,
|
| 740 |
+
"support": 1178.0
|
| 741 |
+
},
|
| 742 |
+
"eval_I": {
|
| 743 |
+
"f1-score": 0.9563048159235334,
|
| 744 |
+
"precision": 0.9492258770786633,
|
| 745 |
+
"recall": 0.9634901317530028,
|
| 746 |
+
"support": 18899.0
|
| 747 |
+
},
|
| 748 |
+
"eval_O": {
|
| 749 |
+
"f1-score": 0.9161826557180053,
|
| 750 |
+
"precision": 0.9343341503267973,
|
| 751 |
+
"recall": 0.8987229862475442,
|
| 752 |
+
"support": 10180.0
|
| 753 |
+
},
|
| 754 |
+
"eval_accuracy": 0.9397825296625574,
|
| 755 |
+
"eval_loss": 0.41976475715637207,
|
| 756 |
+
"eval_macro avg": {
|
| 757 |
+
"f1-score": 0.9160324092463666,
|
| 758 |
+
"precision": 0.9078845437165368,
|
| 759 |
+
"recall": 0.9254915260341382,
|
| 760 |
+
"support": 30257.0
|
| 761 |
+
},
|
| 762 |
+
"eval_runtime": 4.7401,
|
| 763 |
+
"eval_samples_per_second": 17.088,
|
| 764 |
+
"eval_steps_per_second": 2.321,
|
| 765 |
+
"eval_weighted avg": {
|
| 766 |
+
"f1-score": 0.9396639602085823,
|
| 767 |
+
"precision": 0.9399666776761432,
|
| 768 |
+
"recall": 0.9397825296625574,
|
| 769 |
+
"support": 30257.0
|
| 770 |
+
},
|
| 771 |
+
"step": 1539
|
| 772 |
+
},
|
| 773 |
+
{
|
| 774 |
+
"epoch": 20.0,
|
| 775 |
+
"eval_B": {
|
| 776 |
+
"f1-score": 0.8851099128992119,
|
| 777 |
+
"precision": 0.8653690186536902,
|
| 778 |
+
"recall": 0.9057724957555179,
|
| 779 |
+
"support": 1178.0
|
| 780 |
+
},
|
| 781 |
+
"eval_I": {
|
| 782 |
+
"f1-score": 0.9574706357267495,
|
| 783 |
+
"precision": 0.9427633603446507,
|
| 784 |
+
"recall": 0.972644055241018,
|
| 785 |
+
"support": 18899.0
|
| 786 |
+
},
|
| 787 |
+
"eval_O": {
|
| 788 |
+
"f1-score": 0.9156602050137015,
|
| 789 |
+
"precision": 0.9470921688011757,
|
| 790 |
+
"recall": 0.8862475442043222,
|
| 791 |
+
"support": 10180.0
|
| 792 |
+
},
|
| 793 |
+
"eval_accuracy": 0.9409723369798725,
|
| 794 |
+
"eval_loss": 0.4046960175037384,
|
| 795 |
+
"eval_macro avg": {
|
| 796 |
+
"f1-score": 0.9194135845465543,
|
| 797 |
+
"precision": 0.9184081825998388,
|
| 798 |
+
"recall": 0.921554698400286,
|
| 799 |
+
"support": 30257.0
|
| 800 |
+
},
|
| 801 |
+
"eval_runtime": 4.6993,
|
| 802 |
+
"eval_samples_per_second": 17.237,
|
| 803 |
+
"eval_steps_per_second": 2.341,
|
| 804 |
+
"eval_weighted avg": {
|
| 805 |
+
"f1-score": 0.9405862414989786,
|
| 806 |
+
"precision": 0.9412065878812694,
|
| 807 |
+
"recall": 0.9409723369798725,
|
| 808 |
+
"support": 30257.0
|
| 809 |
+
},
|
| 810 |
+
"step": 1620
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"epoch": 21.0,
|
| 814 |
+
"eval_B": {
|
| 815 |
+
"f1-score": 0.8877928483353884,
|
| 816 |
+
"precision": 0.8605577689243028,
|
| 817 |
+
"recall": 0.9168081494057725,
|
| 818 |
+
"support": 1178.0
|
| 819 |
+
},
|
| 820 |
+
"eval_I": {
|
| 821 |
+
"f1-score": 0.9589888818963709,
|
| 822 |
+
"precision": 0.9505640172584082,
|
| 823 |
+
"recall": 0.9675644213979576,
|
| 824 |
+
"support": 18899.0
|
| 825 |
+
},
|
| 826 |
+
"eval_O": {
|
| 827 |
+
"f1-score": 0.9206317372775131,
|
| 828 |
+
"precision": 0.9401945724526369,
|
| 829 |
+
"recall": 0.9018664047151277,
|
| 830 |
+
"support": 10180.0
|
| 831 |
+
},
|
| 832 |
+
"eval_accuracy": 0.9434841524275375,
|
| 833 |
+
"eval_loss": 0.3954521417617798,
|
| 834 |
+
"eval_macro avg": {
|
| 835 |
+
"f1-score": 0.9224711558364241,
|
| 836 |
+
"precision": 0.9171054528784492,
|
| 837 |
+
"recall": 0.9287463251729525,
|
| 838 |
+
"support": 30257.0
|
| 839 |
+
},
|
| 840 |
+
"eval_runtime": 4.703,
|
| 841 |
+
"eval_samples_per_second": 17.223,
|
| 842 |
+
"eval_steps_per_second": 2.339,
|
| 843 |
+
"eval_weighted avg": {
|
| 844 |
+
"f1-score": 0.9433116944767718,
|
| 845 |
+
"precision": 0.9435709806500092,
|
| 846 |
+
"recall": 0.9434841524275375,
|
| 847 |
+
"support": 30257.0
|
| 848 |
+
},
|
| 849 |
+
"step": 1701
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 22.0,
|
| 853 |
+
"eval_B": {
|
| 854 |
+
"f1-score": 0.882280049566295,
|
| 855 |
+
"precision": 0.8592115848753017,
|
| 856 |
+
"recall": 0.9066213921901528,
|
| 857 |
+
"support": 1178.0
|
| 858 |
+
},
|
| 859 |
+
"eval_I": {
|
| 860 |
+
"f1-score": 0.955072275035812,
|
| 861 |
+
"precision": 0.9404493229380386,
|
| 862 |
+
"recall": 0.9701571511720197,
|
| 863 |
+
"support": 18899.0
|
| 864 |
+
},
|
| 865 |
+
"eval_O": {
|
| 866 |
+
"f1-score": 0.9106508274951772,
|
| 867 |
+
"precision": 0.9423198150872032,
|
| 868 |
+
"recall": 0.881041257367387,
|
| 869 |
+
"support": 10180.0
|
| 870 |
+
},
|
| 871 |
+
"eval_accuracy": 0.9377003668572562,
|
| 872 |
+
"eval_loss": 0.45334869623184204,
|
| 873 |
+
"eval_macro avg": {
|
| 874 |
+
"f1-score": 0.9160010506990948,
|
| 875 |
+
"precision": 0.9139935743001812,
|
| 876 |
+
"recall": 0.9192732669098532,
|
| 877 |
+
"support": 30257.0
|
| 878 |
+
},
|
| 879 |
+
"eval_runtime": 4.7089,
|
| 880 |
+
"eval_samples_per_second": 17.201,
|
| 881 |
+
"eval_steps_per_second": 2.336,
|
| 882 |
+
"eval_weighted avg": {
|
| 883 |
+
"f1-score": 0.9372926016522395,
|
| 884 |
+
"precision": 0.9379158118378169,
|
| 885 |
+
"recall": 0.9377003668572562,
|
| 886 |
+
"support": 30257.0
|
| 887 |
+
},
|
| 888 |
+
"step": 1782
|
| 889 |
+
},
|
| 890 |
+
{
|
| 891 |
+
"epoch": 23.0,
|
| 892 |
+
"eval_B": {
|
| 893 |
+
"f1-score": 0.8881632653061224,
|
| 894 |
+
"precision": 0.8553459119496856,
|
| 895 |
+
"recall": 0.9235993208828522,
|
| 896 |
+
"support": 1178.0
|
| 897 |
+
},
|
| 898 |
+
"eval_I": {
|
| 899 |
+
"f1-score": 0.9594668757350059,
|
| 900 |
+
"precision": 0.947898378601673,
|
| 901 |
+
"recall": 0.9713212339277211,
|
| 902 |
+
"support": 18899.0
|
| 903 |
+
},
|
| 904 |
+
"eval_O": {
|
| 905 |
+
"f1-score": 0.9211576342239507,
|
| 906 |
+
"precision": 0.9480195446512112,
|
| 907 |
+
"recall": 0.8957760314341847,
|
| 908 |
+
"support": 10180.0
|
| 909 |
+
},
|
| 910 |
+
"eval_accuracy": 0.9440460058829362,
|
| 911 |
+
"eval_loss": 0.43748563528060913,
|
| 912 |
+
"eval_macro avg": {
|
| 913 |
+
"f1-score": 0.9229292584216929,
|
| 914 |
+
"precision": 0.9170879450675233,
|
| 915 |
+
"recall": 0.9302321954149194,
|
| 916 |
+
"support": 30257.0
|
| 917 |
+
},
|
| 918 |
+
"eval_runtime": 4.714,
|
| 919 |
+
"eval_samples_per_second": 17.183,
|
| 920 |
+
"eval_steps_per_second": 2.333,
|
| 921 |
+
"eval_weighted avg": {
|
| 922 |
+
"f1-score": 0.9438016170620454,
|
| 923 |
+
"precision": 0.9443357869590202,
|
| 924 |
+
"recall": 0.9440460058829362,
|
| 925 |
+
"support": 30257.0
|
| 926 |
+
},
|
| 927 |
+
"step": 1863
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 24.0,
|
| 931 |
+
"eval_B": {
|
| 932 |
+
"f1-score": 0.8849630238290879,
|
| 933 |
+
"precision": 0.857484076433121,
|
| 934 |
+
"recall": 0.9142614601018676,
|
| 935 |
+
"support": 1178.0
|
| 936 |
+
},
|
| 937 |
+
"eval_I": {
|
| 938 |
+
"f1-score": 0.960634026800146,
|
| 939 |
+
"precision": 0.9468112441543759,
|
| 940 |
+
"recall": 0.974866395047357,
|
| 941 |
+
"support": 18899.0
|
| 942 |
+
},
|
| 943 |
+
"eval_O": {
|
| 944 |
+
"f1-score": 0.9227258898691816,
|
| 945 |
+
"precision": 0.9535736742821211,
|
| 946 |
+
"recall": 0.8938113948919449,
|
| 947 |
+
"support": 10180.0
|
| 948 |
+
},
|
| 949 |
+
"eval_accuracy": 0.9452358132002512,
|
| 950 |
+
"eval_loss": 0.4326893985271454,
|
| 951 |
+
"eval_macro avg": {
|
| 952 |
+
"f1-score": 0.9227743134994718,
|
| 953 |
+
"precision": 0.9192896649565393,
|
| 954 |
+
"recall": 0.9276464166803898,
|
| 955 |
+
"support": 30257.0
|
| 956 |
+
},
|
| 957 |
+
"eval_runtime": 4.6967,
|
| 958 |
+
"eval_samples_per_second": 17.246,
|
| 959 |
+
"eval_steps_per_second": 2.342,
|
| 960 |
+
"eval_weighted avg": {
|
| 961 |
+
"f1-score": 0.9449336838891791,
|
| 962 |
+
"precision": 0.9456086839245054,
|
| 963 |
+
"recall": 0.9452358132002512,
|
| 964 |
+
"support": 30257.0
|
| 965 |
+
},
|
| 966 |
+
"step": 1944
|
| 967 |
+
},
|
| 968 |
+
{
|
| 969 |
+
"epoch": 24.69,
|
| 970 |
+
"grad_norm": 0.07635599374771118,
|
| 971 |
+
"learning_rate": 1.0123456790123458e-05,
|
| 972 |
+
"loss": 0.0035,
|
| 973 |
+
"step": 2000
|
| 974 |
+
},
|
| 975 |
+
{
|
| 976 |
+
"epoch": 25.0,
|
| 977 |
+
"eval_B": {
|
| 978 |
+
"f1-score": 0.8899958488999585,
|
| 979 |
+
"precision": 0.8708367181153533,
|
| 980 |
+
"recall": 0.9100169779286927,
|
| 981 |
+
"support": 1178.0
|
| 982 |
+
},
|
| 983 |
+
"eval_I": {
|
| 984 |
+
"f1-score": 0.9602969235996759,
|
| 985 |
+
"precision": 0.9488636363636364,
|
| 986 |
+
"recall": 0.9720091010106355,
|
| 987 |
+
"support": 18899.0
|
| 988 |
+
},
|
| 989 |
+
"eval_O": {
|
| 990 |
+
"f1-score": 0.92240249924418,
|
| 991 |
+
"precision": 0.946927374301676,
|
| 992 |
+
"recall": 0.8991159135559922,
|
| 993 |
+
"support": 10180.0
|
| 994 |
+
},
|
| 995 |
+
"eval_accuracy": 0.9450705621839575,
|
| 996 |
+
"eval_loss": 0.41382941603660583,
|
| 997 |
+
"eval_macro avg": {
|
| 998 |
+
"f1-score": 0.9242317572479383,
|
| 999 |
+
"precision": 0.9222092429268886,
|
| 1000 |
+
"recall": 0.9270473308317735,
|
| 1001 |
+
"support": 30257.0
|
| 1002 |
+
},
|
| 1003 |
+
"eval_runtime": 4.755,
|
| 1004 |
+
"eval_samples_per_second": 17.035,
|
| 1005 |
+
"eval_steps_per_second": 2.313,
|
| 1006 |
+
"eval_weighted avg": {
|
| 1007 |
+
"f1-score": 0.9448102624655512,
|
| 1008 |
+
"precision": 0.9451743460345479,
|
| 1009 |
+
"recall": 0.9450705621839575,
|
| 1010 |
+
"support": 30257.0
|
| 1011 |
+
},
|
| 1012 |
+
"step": 2025
|
| 1013 |
+
},
|
| 1014 |
+
{
|
| 1015 |
+
"epoch": 26.0,
|
| 1016 |
+
"eval_B": {
|
| 1017 |
+
"f1-score": 0.885489871847871,
|
| 1018 |
+
"precision": 0.863013698630137,
|
| 1019 |
+
"recall": 0.9091680814940577,
|
| 1020 |
+
"support": 1178.0
|
| 1021 |
+
},
|
| 1022 |
+
"eval_I": {
|
| 1023 |
+
"f1-score": 0.9624506968183014,
|
| 1024 |
+
"precision": 0.9566149181955987,
|
| 1025 |
+
"recall": 0.9683581141859358,
|
| 1026 |
+
"support": 18899.0
|
| 1027 |
+
},
|
| 1028 |
+
"eval_O": {
|
| 1029 |
+
"f1-score": 0.9278843757787192,
|
| 1030 |
+
"precision": 0.9417298937784522,
|
| 1031 |
+
"recall": 0.9144400785854617,
|
| 1032 |
+
"support": 10180.0
|
| 1033 |
+
},
|
| 1034 |
+
"eval_accuracy": 0.9479128796642099,
|
| 1035 |
+
"eval_loss": 0.37765103578567505,
|
| 1036 |
+
"eval_macro avg": {
|
| 1037 |
+
"f1-score": 0.9252749814816305,
|
| 1038 |
+
"precision": 0.9204528368680626,
|
| 1039 |
+
"recall": 0.9306554247551517,
|
| 1040 |
+
"support": 30257.0
|
| 1041 |
+
},
|
| 1042 |
+
"eval_runtime": 4.7261,
|
| 1043 |
+
"eval_samples_per_second": 17.139,
|
| 1044 |
+
"eval_steps_per_second": 2.327,
|
| 1045 |
+
"eval_weighted avg": {
|
| 1046 |
+
"f1-score": 0.9478244946172202,
|
| 1047 |
+
"precision": 0.9479626464827831,
|
| 1048 |
+
"recall": 0.9479128796642099,
|
| 1049 |
+
"support": 30257.0
|
| 1050 |
+
},
|
| 1051 |
+
"step": 2106
|
| 1052 |
+
},
|
| 1053 |
+
{
|
| 1054 |
+
"epoch": 27.0,
|
| 1055 |
+
"eval_B": {
|
| 1056 |
+
"f1-score": 0.8870500620604055,
|
| 1057 |
+
"precision": 0.8652138821630347,
|
| 1058 |
+
"recall": 0.9100169779286927,
|
| 1059 |
+
"support": 1178.0
|
| 1060 |
+
},
|
| 1061 |
+
"eval_I": {
|
| 1062 |
+
"f1-score": 0.9591804653112554,
|
| 1063 |
+
"precision": 0.949971456743993,
|
| 1064 |
+
"recall": 0.9685697655960633,
|
| 1065 |
+
"support": 18899.0
|
| 1066 |
+
},
|
| 1067 |
+
"eval_O": {
|
| 1068 |
+
"f1-score": 0.9205680164584273,
|
| 1069 |
+
"precision": 0.940917017129962,
|
| 1070 |
+
"recall": 0.9010805500982318,
|
| 1071 |
+
"support": 10180.0
|
| 1072 |
+
},
|
| 1073 |
+
"eval_accuracy": 0.9435833030373136,
|
| 1074 |
+
"eval_loss": 0.44144001603126526,
|
| 1075 |
+
"eval_macro avg": {
|
| 1076 |
+
"f1-score": 0.922266181276696,
|
| 1077 |
+
"precision": 0.9187007853456634,
|
| 1078 |
+
"recall": 0.926555764540996,
|
| 1079 |
+
"support": 30257.0
|
| 1080 |
+
},
|
| 1081 |
+
"eval_runtime": 4.7203,
|
| 1082 |
+
"eval_samples_per_second": 17.16,
|
| 1083 |
+
"eval_steps_per_second": 2.33,
|
| 1084 |
+
"eval_weighted avg": {
|
| 1085 |
+
"f1-score": 0.9433810025637493,
|
| 1086 |
+
"precision": 0.9436252023854246,
|
| 1087 |
+
"recall": 0.9435833030373136,
|
| 1088 |
+
"support": 30257.0
|
| 1089 |
+
},
|
| 1090 |
+
"step": 2187
|
| 1091 |
+
},
|
| 1092 |
+
{
|
| 1093 |
+
"epoch": 28.0,
|
| 1094 |
+
"eval_B": {
|
| 1095 |
+
"f1-score": 0.8864954432477217,
|
| 1096 |
+
"precision": 0.8656957928802589,
|
| 1097 |
+
"recall": 0.9083191850594228,
|
| 1098 |
+
"support": 1178.0
|
| 1099 |
+
},
|
| 1100 |
+
"eval_I": {
|
| 1101 |
+
"f1-score": 0.9565172351280657,
|
| 1102 |
+
"precision": 0.9367454600791316,
|
| 1103 |
+
"recall": 0.9771416477062278,
|
| 1104 |
+
"support": 18899.0
|
| 1105 |
+
},
|
| 1106 |
+
"eval_O": {
|
| 1107 |
+
"f1-score": 0.912197875506748,
|
| 1108 |
+
"precision": 0.9549801224884495,
|
| 1109 |
+
"recall": 0.8730844793713163,
|
| 1110 |
+
"support": 10180.0
|
| 1111 |
+
},
|
| 1112 |
+
"eval_accuracy": 0.9394520276299699,
|
| 1113 |
+
"eval_loss": 0.5108960270881653,
|
| 1114 |
+
"eval_macro avg": {
|
| 1115 |
+
"f1-score": 0.9184035179608451,
|
| 1116 |
+
"precision": 0.9191404584826133,
|
| 1117 |
+
"recall": 0.9195151040456556,
|
| 1118 |
+
"support": 30257.0
|
| 1119 |
+
},
|
| 1120 |
+
"eval_runtime": 4.736,
|
| 1121 |
+
"eval_samples_per_second": 17.103,
|
| 1122 |
+
"eval_steps_per_second": 2.323,
|
| 1123 |
+
"eval_weighted avg": {
|
| 1124 |
+
"f1-score": 0.9388797710113306,
|
| 1125 |
+
"precision": 0.9401143451426405,
|
| 1126 |
+
"recall": 0.9394520276299699,
|
| 1127 |
+
"support": 30257.0
|
| 1128 |
+
},
|
| 1129 |
+
"step": 2268
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 29.0,
|
| 1133 |
+
"eval_B": {
|
| 1134 |
+
"f1-score": 0.8870292887029289,
|
| 1135 |
+
"precision": 0.8745874587458746,
|
| 1136 |
+
"recall": 0.8998302207130731,
|
| 1137 |
+
"support": 1178.0
|
| 1138 |
+
},
|
| 1139 |
+
"eval_I": {
|
| 1140 |
+
"f1-score": 0.9617674295541738,
|
| 1141 |
+
"precision": 0.9618437764606266,
|
| 1142 |
+
"recall": 0.9616910947669188,
|
| 1143 |
+
"support": 18899.0
|
| 1144 |
+
},
|
| 1145 |
+
"eval_O": {
|
| 1146 |
+
"f1-score": 0.9281322249003886,
|
| 1147 |
+
"precision": 0.9295497093309686,
|
| 1148 |
+
"recall": 0.9267190569744598,
|
| 1149 |
+
"support": 10180.0
|
| 1150 |
+
},
|
| 1151 |
+
"eval_accuracy": 0.9475162772251049,
|
| 1152 |
+
"eval_loss": 0.41041621565818787,
|
| 1153 |
+
"eval_macro avg": {
|
| 1154 |
+
"f1-score": 0.9256429810524972,
|
| 1155 |
+
"precision": 0.9219936481791565,
|
| 1156 |
+
"recall": 0.9294134574848173,
|
| 1157 |
+
"support": 30257.0
|
| 1158 |
+
},
|
| 1159 |
+
"eval_runtime": 4.7029,
|
| 1160 |
+
"eval_samples_per_second": 17.224,
|
| 1161 |
+
"eval_steps_per_second": 2.339,
|
| 1162 |
+
"eval_weighted avg": {
|
| 1163 |
+
"f1-score": 0.94754103852736,
|
| 1164 |
+
"precision": 0.9475812406623685,
|
| 1165 |
+
"recall": 0.9475162772251049,
|
| 1166 |
+
"support": 30257.0
|
| 1167 |
+
},
|
| 1168 |
+
"step": 2349
|
| 1169 |
+
},
|
| 1170 |
+
{
|
| 1171 |
+
"epoch": 30.0,
|
| 1172 |
+
"eval_B": {
|
| 1173 |
+
"f1-score": 0.885939444214019,
|
| 1174 |
+
"precision": 0.8661800486618005,
|
| 1175 |
+
"recall": 0.9066213921901528,
|
| 1176 |
+
"support": 1178.0
|
| 1177 |
+
},
|
| 1178 |
+
"eval_I": {
|
| 1179 |
+
"f1-score": 0.959851047649018,
|
| 1180 |
+
"precision": 0.9514921493189145,
|
| 1181 |
+
"recall": 0.9683581141859358,
|
| 1182 |
+
"support": 18899.0
|
| 1183 |
+
},
|
| 1184 |
+
"eval_O": {
|
| 1185 |
+
"f1-score": 0.9222834251377066,
|
| 1186 |
+
"precision": 0.9406537282941777,
|
| 1187 |
+
"recall": 0.9046168958742633,
|
| 1188 |
+
"support": 10180.0
|
| 1189 |
+
},
|
| 1190 |
+
"eval_accuracy": 0.9445087087285586,
|
| 1191 |
+
"eval_loss": 0.4500040113925934,
|
| 1192 |
+
"eval_macro avg": {
|
| 1193 |
+
"f1-score": 0.9226913056669145,
|
| 1194 |
+
"precision": 0.9194419754249642,
|
| 1195 |
+
"recall": 0.9265321340834506,
|
| 1196 |
+
"support": 30257.0
|
| 1197 |
+
},
|
| 1198 |
+
"eval_runtime": 4.7043,
|
| 1199 |
+
"eval_samples_per_second": 17.218,
|
| 1200 |
+
"eval_steps_per_second": 2.338,
|
| 1201 |
+
"eval_weighted avg": {
|
| 1202 |
+
"f1-score": 0.9443337701260784,
|
| 1203 |
+
"precision": 0.9445240830662821,
|
| 1204 |
+
"recall": 0.9445087087285586,
|
| 1205 |
+
"support": 30257.0
|
| 1206 |
+
},
|
| 1207 |
+
"step": 2430
|
| 1208 |
+
},
|
| 1209 |
+
{
|
| 1210 |
+
"epoch": 30.86,
|
| 1211 |
+
"grad_norm": 0.011806252412497997,
|
| 1212 |
+
"learning_rate": 7.654320987654322e-06,
|
| 1213 |
+
"loss": 0.002,
|
| 1214 |
+
"step": 2500
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 31.0,
|
| 1218 |
+
"eval_B": {
|
| 1219 |
+
"f1-score": 0.8837792642140467,
|
| 1220 |
+
"precision": 0.8706754530477759,
|
| 1221 |
+
"recall": 0.8972835314091681,
|
| 1222 |
+
"support": 1178.0
|
| 1223 |
+
},
|
| 1224 |
+
"eval_I": {
|
| 1225 |
+
"f1-score": 0.9593350046180235,
|
| 1226 |
+
"precision": 0.9568856601389766,
|
| 1227 |
+
"recall": 0.9617969204719826,
|
| 1228 |
+
"support": 18899.0
|
| 1229 |
+
},
|
| 1230 |
+
"eval_O": {
|
| 1231 |
+
"f1-score": 0.9225292925297869,
|
| 1232 |
+
"precision": 0.9286354135562854,
|
| 1233 |
+
"recall": 0.9165029469548134,
|
| 1234 |
+
"support": 10180.0
|
| 1235 |
+
},
|
| 1236 |
+
"eval_accuracy": 0.9440460058829362,
|
| 1237 |
+
"eval_loss": 0.4298489987850189,
|
| 1238 |
+
"eval_macro avg": {
|
| 1239 |
+
"f1-score": 0.9218811871206191,
|
| 1240 |
+
"precision": 0.9187321755810127,
|
| 1241 |
+
"recall": 0.9251944662786548,
|
| 1242 |
+
"support": 30257.0
|
| 1243 |
+
},
|
| 1244 |
+
"eval_runtime": 4.7086,
|
| 1245 |
+
"eval_samples_per_second": 17.203,
|
| 1246 |
+
"eval_steps_per_second": 2.336,
|
| 1247 |
+
"eval_weighted avg": {
|
| 1248 |
+
"f1-score": 0.9440100612576726,
|
| 1249 |
+
"precision": 0.9440244004580688,
|
| 1250 |
+
"recall": 0.9440460058829362,
|
| 1251 |
+
"support": 30257.0
|
| 1252 |
+
},
|
| 1253 |
+
"step": 2511
|
| 1254 |
+
},
|
| 1255 |
+
{
|
| 1256 |
+
"epoch": 32.0,
|
| 1257 |
+
"eval_B": {
|
| 1258 |
+
"f1-score": 0.8834154351395731,
|
| 1259 |
+
"precision": 0.8553259141494436,
|
| 1260 |
+
"recall": 0.9134125636672326,
|
| 1261 |
+
"support": 1178.0
|
| 1262 |
+
},
|
| 1263 |
+
"eval_I": {
|
| 1264 |
+
"f1-score": 0.956920113491423,
|
| 1265 |
+
"precision": 0.941746080541039,
|
| 1266 |
+
"recall": 0.9725911423884862,
|
| 1267 |
+
"support": 18899.0
|
| 1268 |
+
},
|
| 1269 |
+
"eval_O": {
|
| 1270 |
+
"f1-score": 0.9147042368139973,
|
| 1271 |
+
"precision": 0.948423162113701,
|
| 1272 |
+
"recall": 0.8833005893909627,
|
| 1273 |
+
"support": 10180.0
|
| 1274 |
+
},
|
| 1275 |
+
"eval_accuracy": 0.9402452325081799,
|
| 1276 |
+
"eval_loss": 0.47600796818733215,
|
| 1277 |
+
"eval_macro avg": {
|
| 1278 |
+
"f1-score": 0.9183465951483312,
|
| 1279 |
+
"precision": 0.9151650522680613,
|
| 1280 |
+
"recall": 0.9231014318155605,
|
| 1281 |
+
"support": 30257.0
|
| 1282 |
+
},
|
| 1283 |
+
"eval_runtime": 4.7349,
|
| 1284 |
+
"eval_samples_per_second": 17.107,
|
| 1285 |
+
"eval_steps_per_second": 2.323,
|
| 1286 |
+
"eval_weighted avg": {
|
| 1287 |
+
"f1-score": 0.9398547687555049,
|
| 1288 |
+
"precision": 0.9406279833866747,
|
| 1289 |
+
"recall": 0.9402452325081799,
|
| 1290 |
+
"support": 30257.0
|
| 1291 |
+
},
|
| 1292 |
+
"step": 2592
|
| 1293 |
+
},
|
| 1294 |
+
{
|
| 1295 |
+
"epoch": 33.0,
|
| 1296 |
+
"eval_B": {
|
| 1297 |
+
"f1-score": 0.8870703764320785,
|
| 1298 |
+
"precision": 0.8562401263823065,
|
| 1299 |
+
"recall": 0.9202037351443124,
|
| 1300 |
+
"support": 1178.0
|
| 1301 |
+
},
|
| 1302 |
+
"eval_I": {
|
| 1303 |
+
"f1-score": 0.9574185483240878,
|
| 1304 |
+
"precision": 0.9427120730331316,
|
| 1305 |
+
"recall": 0.9725911423884862,
|
| 1306 |
+
"support": 18899.0
|
| 1307 |
+
},
|
| 1308 |
+
"eval_O": {
|
| 1309 |
+
"f1-score": 0.9158745488740914,
|
| 1310 |
+
"precision": 0.9490150637311703,
|
| 1311 |
+
"recall": 0.8849705304518664,
|
| 1312 |
+
"support": 10180.0
|
| 1313 |
+
},
|
| 1314 |
+
"eval_accuracy": 0.9410714875896486,
|
| 1315 |
+
"eval_loss": 0.4852244555950165,
|
| 1316 |
+
"eval_macro avg": {
|
| 1317 |
+
"f1-score": 0.9201211578767525,
|
| 1318 |
+
"precision": 0.9159890877155362,
|
| 1319 |
+
"recall": 0.9259218026615551,
|
| 1320 |
+
"support": 30257.0
|
| 1321 |
+
},
|
| 1322 |
+
"eval_runtime": 4.7125,
|
| 1323 |
+
"eval_samples_per_second": 17.188,
|
| 1324 |
+
"eval_steps_per_second": 2.334,
|
| 1325 |
+
"eval_weighted avg": {
|
| 1326 |
+
"f1-score": 0.9407021501058325,
|
| 1327 |
+
"precision": 0.9414660966359792,
|
| 1328 |
+
"recall": 0.9410714875896486,
|
| 1329 |
+
"support": 30257.0
|
| 1330 |
+
},
|
| 1331 |
+
"step": 2673
|
| 1332 |
+
},
|
| 1333 |
+
{
|
| 1334 |
+
"epoch": 34.0,
|
| 1335 |
+
"eval_B": {
|
| 1336 |
+
"f1-score": 0.8844884488448845,
|
| 1337 |
+
"precision": 0.8603531300160514,
|
| 1338 |
+
"recall": 0.9100169779286927,
|
| 1339 |
+
"support": 1178.0
|
| 1340 |
+
},
|
| 1341 |
+
"eval_I": {
|
| 1342 |
+
"f1-score": 0.9582158153139038,
|
| 1343 |
+
"precision": 0.9460114474294848,
|
| 1344 |
+
"recall": 0.9707391925498704,
|
| 1345 |
+
"support": 18899.0
|
| 1346 |
+
},
|
| 1347 |
+
"eval_O": {
|
| 1348 |
+
"f1-score": 0.9180725325790483,
|
| 1349 |
+
"precision": 0.9448949885631108,
|
| 1350 |
+
"recall": 0.8927308447937131,
|
| 1351 |
+
"support": 10180.0
|
| 1352 |
+
},
|
| 1353 |
+
"eval_accuracy": 0.9421290940939286,
|
| 1354 |
+
"eval_loss": 0.4915787875652313,
|
| 1355 |
+
"eval_macro avg": {
|
| 1356 |
+
"f1-score": 0.9202589322459455,
|
| 1357 |
+
"precision": 0.9170865220028824,
|
| 1358 |
+
"recall": 0.9244956717574254,
|
| 1359 |
+
"support": 30257.0
|
| 1360 |
+
},
|
| 1361 |
+
"eval_runtime": 4.7166,
|
| 1362 |
+
"eval_samples_per_second": 17.173,
|
| 1363 |
+
"eval_steps_per_second": 2.332,
|
| 1364 |
+
"eval_weighted avg": {
|
| 1365 |
+
"f1-score": 0.9418391270784101,
|
| 1366 |
+
"precision": 0.9423008664342536,
|
| 1367 |
+
"recall": 0.9421290940939286,
|
| 1368 |
+
"support": 30257.0
|
| 1369 |
+
},
|
| 1370 |
+
"step": 2754
|
| 1371 |
+
},
|
| 1372 |
+
{
|
| 1373 |
+
"epoch": 35.0,
|
| 1374 |
+
"eval_B": {
|
| 1375 |
+
"f1-score": 0.8843314191960623,
|
| 1376 |
+
"precision": 0.8555555555555555,
|
| 1377 |
+
"recall": 0.9151103565365025,
|
| 1378 |
+
"support": 1178.0
|
| 1379 |
+
},
|
| 1380 |
+
"eval_I": {
|
| 1381 |
+
"f1-score": 0.9573253743847523,
|
| 1382 |
+
"precision": 0.947452971964554,
|
| 1383 |
+
"recall": 0.9674056828403619,
|
| 1384 |
+
"support": 18899.0
|
| 1385 |
+
},
|
| 1386 |
+
"eval_O": {
|
| 1387 |
+
"f1-score": 0.9170020120724346,
|
| 1388 |
+
"precision": 0.9396907216494845,
|
| 1389 |
+
"recall": 0.8953831041257367,
|
| 1390 |
+
"support": 10180.0
|
| 1391 |
+
},
|
| 1392 |
+
"eval_accuracy": 0.9411375879961662,
|
| 1393 |
+
"eval_loss": 0.48497098684310913,
|
| 1394 |
+
"eval_macro avg": {
|
| 1395 |
+
"f1-score": 0.9195529352177497,
|
| 1396 |
+
"precision": 0.9142330830565314,
|
| 1397 |
+
"recall": 0.9259663811675337,
|
| 1398 |
+
"support": 30257.0
|
| 1399 |
+
},
|
| 1400 |
+
"eval_runtime": 4.7167,
|
| 1401 |
+
"eval_samples_per_second": 17.173,
|
| 1402 |
+
"eval_steps_per_second": 2.332,
|
| 1403 |
+
"eval_weighted avg": {
|
| 1404 |
+
"f1-score": 0.9409166521865281,
|
| 1405 |
+
"precision": 0.9412634996197344,
|
| 1406 |
+
"recall": 0.9411375879961662,
|
| 1407 |
+
"support": 30257.0
|
| 1408 |
+
},
|
| 1409 |
+
"step": 2835
|
| 1410 |
+
}
|
| 1411 |
+
],
|
| 1412 |
+
"logging_steps": 500,
|
| 1413 |
+
"max_steps": 4050,
|
| 1414 |
+
"num_input_tokens_seen": 0,
|
| 1415 |
+
"num_train_epochs": 50,
|
| 1416 |
+
"save_steps": 500,
|
| 1417 |
+
"total_flos": 5016903861753000.0,
|
| 1418 |
+
"train_batch_size": 4,
|
| 1419 |
+
"trial_name": null,
|
| 1420 |
+
"trial_params": null
|
| 1421 |
+
}
|
checkpoint-2835/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a9f81281de988dbf2616f1c96e725c00f6e4415b289b670a7cb21136eb66e95f
|
| 3 |
+
size 4856
|
checkpoint-2835/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|