kinqsradio commited on
Commit
7f91117
·
verified ·
1 Parent(s): 26c1315

Gemma Function Calling Adapter

Browse files
adapter_config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "google/gemma-7b-it",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
7
+ "inference_mode": true,
8
+ "init_lora_weights": true,
9
+ "layers_pattern": null,
10
+ "layers_to_transform": null,
11
+ "loftq_config": {},
12
+ "lora_alpha": 16.0,
13
+ "lora_dropout": 0.1,
14
+ "megatron_config": null,
15
+ "megatron_core": "megatron.core",
16
+ "modules_to_save": null,
17
+ "peft_type": "LORA",
18
+ "r": 8,
19
+ "rank_pattern": {},
20
+ "revision": null,
21
+ "target_modules": [
22
+ "v_proj",
23
+ "q_proj"
24
+ ],
25
+ "task_type": "CAUSAL_LM",
26
+ "use_dora": false,
27
+ "use_rslora": false
28
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8fae4636ee4392a569d9e6f0e1d54033a9543c427827223a666afa8645caffb6
3
+ size 12859872
all_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "train_loss": 0.5547979205449423,
4
+ "train_runtime": 23630.1849,
5
+ "train_samples_per_second": 0.127,
6
+ "train_steps_per_second": 0.016
7
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<start_of_turn>",
4
+ "<end_of_turn>"
5
+ ],
6
+ "bos_token": {
7
+ "content": "<bos>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "eos_token": {
14
+ "content": "<eos>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ },
20
+ "pad_token": {
21
+ "content": "<pad>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false
26
+ },
27
+ "unk_token": {
28
+ "content": "<unk>",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false
33
+ }
34
+ }
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
3
+ size 4241003
tokenizer_config.json ADDED
@@ -0,0 +1,72 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
5
+ "0": {
6
+ "content": "<pad>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<eos>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "<bos>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "3": {
30
+ "content": "<unk>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "106": {
38
+ "content": "<start_of_turn>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "107": {
46
+ "content": "<end_of_turn>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ }
53
+ },
54
+ "additional_special_tokens": [
55
+ "<start_of_turn>",
56
+ "<end_of_turn>"
57
+ ],
58
+ "bos_token": "<bos>",
59
+ "chat_template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '\n' + message['content'] | trim + '<end_of_turn>\n' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model\n'}}{% endif %}",
60
+ "clean_up_tokenization_spaces": false,
61
+ "eos_token": "<eos>",
62
+ "legacy": null,
63
+ "model_max_length": 1000000000000000019884624838656,
64
+ "pad_token": "<pad>",
65
+ "padding_side": "right",
66
+ "sp_model_kwargs": {},
67
+ "spaces_between_special_tokens": false,
68
+ "split_special_tokens": false,
69
+ "tokenizer_class": "GemmaTokenizer",
70
+ "unk_token": "<unk>",
71
+ "use_default_system_prompt": false
72
+ }
train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "train_loss": 0.5547979205449423,
4
+ "train_runtime": 23630.1849,
5
+ "train_samples_per_second": 0.127,
6
+ "train_steps_per_second": 0.016
7
+ }
trainer_log.jsonl ADDED
@@ -0,0 +1,76 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"current_steps": 5, "total_steps": 375, "loss": 1.3397, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.9985889393594345e-05, "epoch": 0.01, "percentage": 1.33, "elapsed_time": "0:05:42", "remaining_time": "7:02:16"}
2
+ {"current_steps": 10, "total_steps": 375, "loss": 1.2413, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.992859235371958e-05, "epoch": 0.03, "percentage": 2.67, "elapsed_time": "0:10:36", "remaining_time": "6:27:27"}
3
+ {"current_steps": 15, "total_steps": 375, "loss": 1.0141, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.9827327946335875e-05, "epoch": 0.04, "percentage": 4.0, "elapsed_time": "0:15:19", "remaining_time": "6:07:46"}
4
+ {"current_steps": 20, "total_steps": 375, "loss": 0.9878, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.968227477476554e-05, "epoch": 0.05, "percentage": 5.33, "elapsed_time": "0:19:19", "remaining_time": "5:42:55"}
5
+ {"current_steps": 25, "total_steps": 375, "loss": 1.0212, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.949368867399567e-05, "epoch": 0.07, "percentage": 6.67, "elapsed_time": "0:25:17", "remaining_time": "5:54:02"}
6
+ {"current_steps": 30, "total_steps": 375, "loss": 0.7766, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.9261902259453614e-05, "epoch": 0.08, "percentage": 8.0, "elapsed_time": "0:30:55", "remaining_time": "5:55:38"}
7
+ {"current_steps": 35, "total_steps": 375, "loss": 0.8701, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.898732434036244e-05, "epoch": 0.09, "percentage": 9.33, "elapsed_time": "0:36:49", "remaining_time": "5:57:40"}
8
+ {"current_steps": 40, "total_steps": 375, "loss": 0.6978, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.867043919871076e-05, "epoch": 0.11, "percentage": 10.67, "elapsed_time": "0:41:40", "remaining_time": "5:49:02"}
9
+ {"current_steps": 45, "total_steps": 375, "loss": 0.754, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.8311805735108894e-05, "epoch": 0.12, "percentage": 12.0, "elapsed_time": "0:47:13", "remaining_time": "5:46:19"}
10
+ {"current_steps": 50, "total_steps": 375, "loss": 0.6599, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.791205648303775e-05, "epoch": 0.13, "percentage": 13.33, "elapsed_time": "0:52:46", "remaining_time": "5:43:05"}
11
+ {"current_steps": 55, "total_steps": 375, "loss": 0.6316, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.747189649322894e-05, "epoch": 0.15, "percentage": 14.67, "elapsed_time": "0:58:09", "remaining_time": "5:38:25"}
12
+ {"current_steps": 60, "total_steps": 375, "loss": 0.7531, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.699210209014394e-05, "epoch": 0.16, "percentage": 16.0, "elapsed_time": "1:03:49", "remaining_time": "5:35:07"}
13
+ {"current_steps": 65, "total_steps": 375, "loss": 0.4528, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.6473519502745476e-05, "epoch": 0.17, "percentage": 17.33, "elapsed_time": "1:08:08", "remaining_time": "5:24:58"}
14
+ {"current_steps": 70, "total_steps": 375, "loss": 0.565, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.591706337197597e-05, "epoch": 0.19, "percentage": 18.67, "elapsed_time": "1:13:28", "remaining_time": "5:20:08"}
15
+ {"current_steps": 75, "total_steps": 375, "loss": 0.6038, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.532371513757564e-05, "epoch": 0.2, "percentage": 20.0, "elapsed_time": "1:18:30", "remaining_time": "5:14:02"}
16
+ {"current_steps": 80, "total_steps": 375, "loss": 0.6498, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.469452130708543e-05, "epoch": 0.21, "percentage": 21.33, "elapsed_time": "1:24:22", "remaining_time": "5:11:08"}
17
+ {"current_steps": 85, "total_steps": 375, "loss": 0.5324, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.4030591610087624e-05, "epoch": 0.23, "percentage": 22.67, "elapsed_time": "1:30:46", "remaining_time": "5:09:43"}
18
+ {"current_steps": 90, "total_steps": 375, "loss": 0.5354, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.3333097040939764e-05, "epoch": 0.24, "percentage": 24.0, "elapsed_time": "1:35:55", "remaining_time": "5:03:45"}
19
+ {"current_steps": 95, "total_steps": 375, "loss": 0.5865, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.260326779345393e-05, "epoch": 0.25, "percentage": 25.33, "elapsed_time": "1:40:49", "remaining_time": "4:57:08"}
20
+ {"current_steps": 100, "total_steps": 375, "loss": 0.5894, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.184239109116393e-05, "epoch": 0.27, "percentage": 26.67, "elapsed_time": "1:46:16", "remaining_time": "4:52:14"}
21
+ {"current_steps": 105, "total_steps": 375, "loss": 0.5148, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.105180891700746e-05, "epoch": 0.28, "percentage": 28.0, "elapsed_time": "1:51:06", "remaining_time": "4:45:41"}
22
+ {"current_steps": 110, "total_steps": 375, "loss": 0.437, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.023291564642711e-05, "epoch": 0.29, "percentage": 29.33, "elapsed_time": "1:56:24", "remaining_time": "4:40:26"}
23
+ {"current_steps": 115, "total_steps": 375, "loss": 0.5527, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 3.938715558806525e-05, "epoch": 0.31, "percentage": 30.67, "elapsed_time": "2:01:20", "remaining_time": "4:34:20"}
24
+ {"current_steps": 120, "total_steps": 375, "loss": 0.5582, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 3.851602043638994e-05, "epoch": 0.32, "percentage": 32.0, "elapsed_time": "2:05:34", "remaining_time": "4:26:49"}
25
+ {"current_steps": 125, "total_steps": 375, "loss": 0.528, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 3.7621046640744975e-05, "epoch": 0.33, "percentage": 33.33, "elapsed_time": "2:10:19", "remaining_time": "4:20:39"}
26
+ {"current_steps": 130, "total_steps": 375, "loss": 0.4583, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 3.670381269546429e-05, "epoch": 0.35, "percentage": 34.67, "elapsed_time": "2:15:35", "remaining_time": "4:15:32"}
27
+ {"current_steps": 135, "total_steps": 375, "loss": 0.4325, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 3.5765936355830356e-05, "epoch": 0.36, "percentage": 36.0, "elapsed_time": "2:20:09", "remaining_time": "4:09:10"}
28
+ {"current_steps": 140, "total_steps": 375, "loss": 0.5655, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 3.480907178478654e-05, "epoch": 0.37, "percentage": 37.33, "elapsed_time": "2:25:04", "remaining_time": "4:03:30"}
29
+ {"current_steps": 145, "total_steps": 375, "loss": 0.5477, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 3.383490663543635e-05, "epoch": 0.39, "percentage": 38.67, "elapsed_time": "2:31:56", "remaining_time": "4:01:01"}
30
+ {"current_steps": 150, "total_steps": 375, "loss": 0.673, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 3.2845159074474806e-05, "epoch": 0.4, "percentage": 40.0, "elapsed_time": "2:38:05", "remaining_time": "3:57:07"}
31
+ {"current_steps": 155, "total_steps": 375, "loss": 0.539, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 3.1841574751802076e-05, "epoch": 0.41, "percentage": 41.33, "elapsed_time": "2:43:34", "remaining_time": "3:52:09"}
32
+ {"current_steps": 160, "total_steps": 375, "loss": 0.511, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 3.082592372166412e-05, "epoch": 0.43, "percentage": 42.67, "elapsed_time": "2:48:15", "remaining_time": "3:46:05"}
33
+ {"current_steps": 165, "total_steps": 375, "loss": 0.402, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 2.9799997320750507e-05, "epoch": 0.44, "percentage": 44.0, "elapsed_time": "2:53:33", "remaining_time": "3:40:53"}
34
+ {"current_steps": 170, "total_steps": 375, "loss": 0.453, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 2.87656050087558e-05, "epoch": 0.45, "percentage": 45.33, "elapsed_time": "2:58:12", "remaining_time": "3:34:54"}
35
+ {"current_steps": 175, "total_steps": 375, "loss": 0.5608, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 2.7724571176976732e-05, "epoch": 0.47, "percentage": 46.67, "elapsed_time": "3:03:11", "remaining_time": "3:29:21"}
36
+ {"current_steps": 180, "total_steps": 375, "loss": 0.4598, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 2.667873193057407e-05, "epoch": 0.48, "percentage": 48.0, "elapsed_time": "3:07:52", "remaining_time": "3:23:31"}
37
+ {"current_steps": 185, "total_steps": 375, "loss": 0.4952, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 2.562993185017431e-05, "epoch": 0.49, "percentage": 49.33, "elapsed_time": "3:13:55", "remaining_time": "3:19:09"}
38
+ {"current_steps": 190, "total_steps": 375, "loss": 0.4087, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 2.4580020738523e-05, "epoch": 0.51, "percentage": 50.67, "elapsed_time": "3:19:01", "remaining_time": "3:13:47"}
39
+ {"current_steps": 195, "total_steps": 375, "loss": 0.5781, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 2.353085035792756e-05, "epoch": 0.52, "percentage": 52.0, "elapsed_time": "3:24:12", "remaining_time": "3:08:29"}
40
+ {"current_steps": 200, "total_steps": 375, "loss": 0.4127, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 2.2484271164243996e-05, "epoch": 0.53, "percentage": 53.33, "elapsed_time": "3:28:13", "remaining_time": "3:02:11"}
41
+ {"current_steps": 205, "total_steps": 375, "loss": 0.5682, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 2.1442129043167874e-05, "epoch": 0.55, "percentage": 54.67, "elapsed_time": "3:34:40", "remaining_time": "2:58:01"}
42
+ {"current_steps": 210, "total_steps": 375, "loss": 0.6413, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 2.0406262054585738e-05, "epoch": 0.56, "percentage": 56.0, "elapsed_time": "3:40:24", "remaining_time": "2:53:10"}
43
+ {"current_steps": 215, "total_steps": 375, "loss": 0.4034, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 1.937849719072931e-05, "epoch": 0.57, "percentage": 57.33, "elapsed_time": "3:45:14", "remaining_time": "2:47:37"}
44
+ {"current_steps": 220, "total_steps": 375, "loss": 0.5331, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 1.836064715384989e-05, "epoch": 0.59, "percentage": 58.67, "elapsed_time": "3:50:20", "remaining_time": "2:42:16"}
45
+ {"current_steps": 225, "total_steps": 375, "loss": 0.4308, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 1.7354507159096647e-05, "epoch": 0.6, "percentage": 60.0, "elapsed_time": "3:55:16", "remaining_time": "2:36:50"}
46
+ {"current_steps": 230, "total_steps": 375, "loss": 0.474, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 1.6361851768237324e-05, "epoch": 0.61, "percentage": 61.33, "elapsed_time": "4:00:20", "remaining_time": "2:31:31"}
47
+ {"current_steps": 235, "total_steps": 375, "loss": 0.4306, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 1.5384431759806083e-05, "epoch": 0.63, "percentage": 62.67, "elapsed_time": "4:06:17", "remaining_time": "2:26:43"}
48
+ {"current_steps": 240, "total_steps": 375, "loss": 0.5352, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 1.4423971041198556e-05, "epoch": 0.64, "percentage": 64.0, "elapsed_time": "4:11:43", "remaining_time": "2:21:35"}
49
+ {"current_steps": 245, "total_steps": 375, "loss": 0.436, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 1.3482163608160408e-05, "epoch": 0.65, "percentage": 65.33, "elapsed_time": "4:16:32", "remaining_time": "2:16:07"}
50
+ {"current_steps": 250, "total_steps": 375, "loss": 0.4172, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 1.2560670557032108e-05, "epoch": 0.67, "percentage": 66.67, "elapsed_time": "4:22:12", "remaining_time": "2:11:06"}
51
+ {"current_steps": 255, "total_steps": 375, "loss": 0.3712, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 1.1661117155019293e-05, "epoch": 0.68, "percentage": 68.0, "elapsed_time": "4:27:11", "remaining_time": "2:05:44"}
52
+ {"current_steps": 260, "total_steps": 375, "loss": 0.5507, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 1.0785089973656337e-05, "epoch": 0.69, "percentage": 69.33, "elapsed_time": "4:34:04", "remaining_time": "2:01:13"}
53
+ {"current_steps": 265, "total_steps": 375, "loss": 0.5309, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 9.934134090518593e-06, "epoch": 0.71, "percentage": 70.67, "elapsed_time": "4:39:03", "remaining_time": "1:55:49"}
54
+ {"current_steps": 270, "total_steps": 375, "loss": 0.4294, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 9.109750364118924e-06, "epoch": 0.72, "percentage": 72.0, "elapsed_time": "4:44:19", "remaining_time": "1:50:34"}
55
+ {"current_steps": 275, "total_steps": 375, "loss": 0.4236, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 8.313392786794833e-06, "epoch": 0.73, "percentage": 73.33, "elapsed_time": "4:49:21", "remaining_time": "1:45:13"}
56
+ {"current_steps": 280, "total_steps": 375, "loss": 0.555, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 7.546465920254974e-06, "epoch": 0.75, "percentage": 74.67, "elapsed_time": "4:56:01", "remaining_time": "1:40:26"}
57
+ {"current_steps": 285, "total_steps": 375, "loss": 0.5034, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 6.810322418308085e-06, "epoch": 0.76, "percentage": 76.0, "elapsed_time": "5:01:35", "remaining_time": "1:35:14"}
58
+ {"current_steps": 290, "total_steps": 375, "loss": 0.4616, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 6.106260641143546e-06, "epoch": 0.77, "percentage": 77.33, "elapsed_time": "5:06:33", "remaining_time": "1:29:51"}
59
+ {"current_steps": 295, "total_steps": 375, "loss": 0.456, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 5.435522365371376e-06, "epoch": 0.79, "percentage": 78.67, "elapsed_time": "5:12:41", "remaining_time": "1:24:47"}
60
+ {"current_steps": 300, "total_steps": 375, "loss": 0.4582, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.799290593860525e-06, "epoch": 0.8, "percentage": 80.0, "elapsed_time": "5:18:12", "remaining_time": "1:19:33"}
61
+ {"current_steps": 305, "total_steps": 375, "loss": 0.3826, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 4.198687469238297e-06, "epoch": 0.81, "percentage": 81.33, "elapsed_time": "5:22:16", "remaining_time": "1:13:57"}
62
+ {"current_steps": 310, "total_steps": 375, "loss": 0.4933, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 3.6347722947309843e-06, "epoch": 0.83, "percentage": 82.67, "elapsed_time": "5:27:52", "remaining_time": "1:08:44"}
63
+ {"current_steps": 315, "total_steps": 375, "loss": 0.5099, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 3.108539665836388e-06, "epoch": 0.84, "percentage": 84.0, "elapsed_time": "5:33:15", "remaining_time": "1:03:28"}
64
+ {"current_steps": 320, "total_steps": 375, "loss": 0.57, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 2.6209177161234445e-06, "epoch": 0.85, "percentage": 85.33, "elapsed_time": "5:39:26", "remaining_time": "0:58:20"}
65
+ {"current_steps": 325, "total_steps": 375, "loss": 0.4737, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 2.1727664802529216e-06, "epoch": 0.87, "percentage": 86.67, "elapsed_time": "5:45:04", "remaining_time": "0:53:05"}
66
+ {"current_steps": 330, "total_steps": 375, "loss": 0.4315, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 1.7648763771063837e-06, "epoch": 0.88, "percentage": 88.0, "elapsed_time": "5:49:47", "remaining_time": "0:47:41"}
67
+ {"current_steps": 335, "total_steps": 375, "loss": 0.4254, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 1.3979668156987425e-06, "epoch": 0.89, "percentage": 89.33, "elapsed_time": "5:54:41", "remaining_time": "0:42:21"}
68
+ {"current_steps": 340, "total_steps": 375, "loss": 0.3288, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 1.0726849263332256e-06, "epoch": 0.91, "percentage": 90.67, "elapsed_time": "5:58:37", "remaining_time": "0:36:54"}
69
+ {"current_steps": 345, "total_steps": 375, "loss": 0.2477, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 7.896044192366586e-07, "epoch": 0.92, "percentage": 92.0, "elapsed_time": "6:03:00", "remaining_time": "0:31:33"}
70
+ {"current_steps": 350, "total_steps": 375, "loss": 0.453, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 5.492245726881201e-07, "epoch": 0.93, "percentage": 93.33, "elapsed_time": "6:08:18", "remaining_time": "0:26:18"}
71
+ {"current_steps": 355, "total_steps": 375, "loss": 0.4833, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 3.51969352425624e-07, "epoch": 0.95, "percentage": 94.67, "elapsed_time": "6:14:04", "remaining_time": "0:21:04"}
72
+ {"current_steps": 360, "total_steps": 375, "loss": 0.5507, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 1.981866638839952e-07, "epoch": 0.96, "percentage": 96.0, "elapsed_time": "6:20:05", "remaining_time": "0:15:50"}
73
+ {"current_steps": 365, "total_steps": 375, "loss": 0.379, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 8.814773858275004e-08, "epoch": 0.97, "percentage": 97.33, "elapsed_time": "6:24:19", "remaining_time": "0:10:31"}
74
+ {"current_steps": 370, "total_steps": 375, "loss": 0.4705, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 2.2046655746280064e-08, "epoch": 0.99, "percentage": 98.67, "elapsed_time": "6:29:22", "remaining_time": "0:05:15"}
75
+ {"current_steps": 375, "total_steps": 375, "loss": 0.4502, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": 0.0, "epoch": 1.0, "percentage": 100.0, "elapsed_time": "6:33:50", "remaining_time": "0:00:00"}
76
+ {"current_steps": 375, "total_steps": 375, "loss": null, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": null, "epoch": 1.0, "percentage": 100.0, "elapsed_time": "6:33:50", "remaining_time": "0:00:00"}
trainer_state.json ADDED
@@ -0,0 +1,555 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "eval_steps": 500,
6
+ "global_step": 375,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.01,
13
+ "grad_norm": 1.65970778465271,
14
+ "learning_rate": 4.9985889393594345e-05,
15
+ "loss": 1.3397,
16
+ "step": 5
17
+ },
18
+ {
19
+ "epoch": 0.03,
20
+ "grad_norm": 1.8339558839797974,
21
+ "learning_rate": 4.992859235371958e-05,
22
+ "loss": 1.2413,
23
+ "step": 10
24
+ },
25
+ {
26
+ "epoch": 0.04,
27
+ "grad_norm": 1.599440336227417,
28
+ "learning_rate": 4.9827327946335875e-05,
29
+ "loss": 1.0141,
30
+ "step": 15
31
+ },
32
+ {
33
+ "epoch": 0.05,
34
+ "grad_norm": 1.4671368598937988,
35
+ "learning_rate": 4.968227477476554e-05,
36
+ "loss": 0.9878,
37
+ "step": 20
38
+ },
39
+ {
40
+ "epoch": 0.07,
41
+ "grad_norm": 0.9982190728187561,
42
+ "learning_rate": 4.949368867399567e-05,
43
+ "loss": 1.0212,
44
+ "step": 25
45
+ },
46
+ {
47
+ "epoch": 0.08,
48
+ "grad_norm": 1.0809102058410645,
49
+ "learning_rate": 4.9261902259453614e-05,
50
+ "loss": 0.7766,
51
+ "step": 30
52
+ },
53
+ {
54
+ "epoch": 0.09,
55
+ "grad_norm": 0.9444558620452881,
56
+ "learning_rate": 4.898732434036244e-05,
57
+ "loss": 0.8701,
58
+ "step": 35
59
+ },
60
+ {
61
+ "epoch": 0.11,
62
+ "grad_norm": 1.0244667530059814,
63
+ "learning_rate": 4.867043919871076e-05,
64
+ "loss": 0.6978,
65
+ "step": 40
66
+ },
67
+ {
68
+ "epoch": 0.12,
69
+ "grad_norm": 0.7848422527313232,
70
+ "learning_rate": 4.8311805735108894e-05,
71
+ "loss": 0.754,
72
+ "step": 45
73
+ },
74
+ {
75
+ "epoch": 0.13,
76
+ "grad_norm": 0.9545549154281616,
77
+ "learning_rate": 4.791205648303775e-05,
78
+ "loss": 0.6599,
79
+ "step": 50
80
+ },
81
+ {
82
+ "epoch": 0.15,
83
+ "grad_norm": 0.6984307765960693,
84
+ "learning_rate": 4.747189649322894e-05,
85
+ "loss": 0.6316,
86
+ "step": 55
87
+ },
88
+ {
89
+ "epoch": 0.16,
90
+ "grad_norm": 0.7565098404884338,
91
+ "learning_rate": 4.699210209014394e-05,
92
+ "loss": 0.7531,
93
+ "step": 60
94
+ },
95
+ {
96
+ "epoch": 0.17,
97
+ "grad_norm": 0.5942355990409851,
98
+ "learning_rate": 4.6473519502745476e-05,
99
+ "loss": 0.4528,
100
+ "step": 65
101
+ },
102
+ {
103
+ "epoch": 0.19,
104
+ "grad_norm": 0.7522299885749817,
105
+ "learning_rate": 4.591706337197597e-05,
106
+ "loss": 0.565,
107
+ "step": 70
108
+ },
109
+ {
110
+ "epoch": 0.2,
111
+ "grad_norm": 0.8787449598312378,
112
+ "learning_rate": 4.532371513757564e-05,
113
+ "loss": 0.6038,
114
+ "step": 75
115
+ },
116
+ {
117
+ "epoch": 0.21,
118
+ "grad_norm": 0.6031142473220825,
119
+ "learning_rate": 4.469452130708543e-05,
120
+ "loss": 0.6498,
121
+ "step": 80
122
+ },
123
+ {
124
+ "epoch": 0.23,
125
+ "grad_norm": 0.838216245174408,
126
+ "learning_rate": 4.4030591610087624e-05,
127
+ "loss": 0.5324,
128
+ "step": 85
129
+ },
130
+ {
131
+ "epoch": 0.24,
132
+ "grad_norm": 1.0710391998291016,
133
+ "learning_rate": 4.3333097040939764e-05,
134
+ "loss": 0.5354,
135
+ "step": 90
136
+ },
137
+ {
138
+ "epoch": 0.25,
139
+ "grad_norm": 0.9150385856628418,
140
+ "learning_rate": 4.260326779345393e-05,
141
+ "loss": 0.5865,
142
+ "step": 95
143
+ },
144
+ {
145
+ "epoch": 0.27,
146
+ "grad_norm": 0.8779798746109009,
147
+ "learning_rate": 4.184239109116393e-05,
148
+ "loss": 0.5894,
149
+ "step": 100
150
+ },
151
+ {
152
+ "epoch": 0.28,
153
+ "grad_norm": 2.170987844467163,
154
+ "learning_rate": 4.105180891700746e-05,
155
+ "loss": 0.5148,
156
+ "step": 105
157
+ },
158
+ {
159
+ "epoch": 0.29,
160
+ "grad_norm": 0.8440865874290466,
161
+ "learning_rate": 4.023291564642711e-05,
162
+ "loss": 0.437,
163
+ "step": 110
164
+ },
165
+ {
166
+ "epoch": 0.31,
167
+ "grad_norm": 0.8862484693527222,
168
+ "learning_rate": 3.938715558806525e-05,
169
+ "loss": 0.5527,
170
+ "step": 115
171
+ },
172
+ {
173
+ "epoch": 0.32,
174
+ "grad_norm": 1.1455185413360596,
175
+ "learning_rate": 3.851602043638994e-05,
176
+ "loss": 0.5582,
177
+ "step": 120
178
+ },
179
+ {
180
+ "epoch": 0.33,
181
+ "grad_norm": 0.8740842938423157,
182
+ "learning_rate": 3.7621046640744975e-05,
183
+ "loss": 0.528,
184
+ "step": 125
185
+ },
186
+ {
187
+ "epoch": 0.35,
188
+ "grad_norm": 1.2668254375457764,
189
+ "learning_rate": 3.670381269546429e-05,
190
+ "loss": 0.4583,
191
+ "step": 130
192
+ },
193
+ {
194
+ "epoch": 0.36,
195
+ "grad_norm": 0.8675268292427063,
196
+ "learning_rate": 3.5765936355830356e-05,
197
+ "loss": 0.4325,
198
+ "step": 135
199
+ },
200
+ {
201
+ "epoch": 0.37,
202
+ "grad_norm": 0.9672185182571411,
203
+ "learning_rate": 3.480907178478654e-05,
204
+ "loss": 0.5655,
205
+ "step": 140
206
+ },
207
+ {
208
+ "epoch": 0.39,
209
+ "grad_norm": 1.1447197198867798,
210
+ "learning_rate": 3.383490663543635e-05,
211
+ "loss": 0.5477,
212
+ "step": 145
213
+ },
214
+ {
215
+ "epoch": 0.4,
216
+ "grad_norm": 0.7843021750450134,
217
+ "learning_rate": 3.2845159074474806e-05,
218
+ "loss": 0.673,
219
+ "step": 150
220
+ },
221
+ {
222
+ "epoch": 0.41,
223
+ "grad_norm": 0.8366529941558838,
224
+ "learning_rate": 3.1841574751802076e-05,
225
+ "loss": 0.539,
226
+ "step": 155
227
+ },
228
+ {
229
+ "epoch": 0.43,
230
+ "grad_norm": 1.1384434700012207,
231
+ "learning_rate": 3.082592372166412e-05,
232
+ "loss": 0.511,
233
+ "step": 160
234
+ },
235
+ {
236
+ "epoch": 0.44,
237
+ "grad_norm": 0.7654138803482056,
238
+ "learning_rate": 2.9799997320750507e-05,
239
+ "loss": 0.402,
240
+ "step": 165
241
+ },
242
+ {
243
+ "epoch": 0.45,
244
+ "grad_norm": 1.1874901056289673,
245
+ "learning_rate": 2.87656050087558e-05,
246
+ "loss": 0.453,
247
+ "step": 170
248
+ },
249
+ {
250
+ "epoch": 0.47,
251
+ "grad_norm": 0.9217435717582703,
252
+ "learning_rate": 2.7724571176976732e-05,
253
+ "loss": 0.5608,
254
+ "step": 175
255
+ },
256
+ {
257
+ "epoch": 0.48,
258
+ "grad_norm": 1.0420029163360596,
259
+ "learning_rate": 2.667873193057407e-05,
260
+ "loss": 0.4598,
261
+ "step": 180
262
+ },
263
+ {
264
+ "epoch": 0.49,
265
+ "grad_norm": 0.8808046579360962,
266
+ "learning_rate": 2.562993185017431e-05,
267
+ "loss": 0.4952,
268
+ "step": 185
269
+ },
270
+ {
271
+ "epoch": 0.51,
272
+ "grad_norm": 1.2101999521255493,
273
+ "learning_rate": 2.4580020738523e-05,
274
+ "loss": 0.4087,
275
+ "step": 190
276
+ },
277
+ {
278
+ "epoch": 0.52,
279
+ "grad_norm": 1.3266472816467285,
280
+ "learning_rate": 2.353085035792756e-05,
281
+ "loss": 0.5781,
282
+ "step": 195
283
+ },
284
+ {
285
+ "epoch": 0.53,
286
+ "grad_norm": 1.5473909378051758,
287
+ "learning_rate": 2.2484271164243996e-05,
288
+ "loss": 0.4127,
289
+ "step": 200
290
+ },
291
+ {
292
+ "epoch": 0.55,
293
+ "grad_norm": 1.1306591033935547,
294
+ "learning_rate": 2.1442129043167874e-05,
295
+ "loss": 0.5682,
296
+ "step": 205
297
+ },
298
+ {
299
+ "epoch": 0.56,
300
+ "grad_norm": 1.0642080307006836,
301
+ "learning_rate": 2.0406262054585738e-05,
302
+ "loss": 0.6413,
303
+ "step": 210
304
+ },
305
+ {
306
+ "epoch": 0.57,
307
+ "grad_norm": 0.9475000500679016,
308
+ "learning_rate": 1.937849719072931e-05,
309
+ "loss": 0.4034,
310
+ "step": 215
311
+ },
312
+ {
313
+ "epoch": 0.59,
314
+ "grad_norm": 1.3008495569229126,
315
+ "learning_rate": 1.836064715384989e-05,
316
+ "loss": 0.5331,
317
+ "step": 220
318
+ },
319
+ {
320
+ "epoch": 0.6,
321
+ "grad_norm": 1.1625583171844482,
322
+ "learning_rate": 1.7354507159096647e-05,
323
+ "loss": 0.4308,
324
+ "step": 225
325
+ },
326
+ {
327
+ "epoch": 0.61,
328
+ "grad_norm": 1.3643542528152466,
329
+ "learning_rate": 1.6361851768237324e-05,
330
+ "loss": 0.474,
331
+ "step": 230
332
+ },
333
+ {
334
+ "epoch": 0.63,
335
+ "grad_norm": 0.6814500093460083,
336
+ "learning_rate": 1.5384431759806083e-05,
337
+ "loss": 0.4306,
338
+ "step": 235
339
+ },
340
+ {
341
+ "epoch": 0.64,
342
+ "grad_norm": 1.1910830736160278,
343
+ "learning_rate": 1.4423971041198556e-05,
344
+ "loss": 0.5352,
345
+ "step": 240
346
+ },
347
+ {
348
+ "epoch": 0.65,
349
+ "grad_norm": 1.0804316997528076,
350
+ "learning_rate": 1.3482163608160408e-05,
351
+ "loss": 0.436,
352
+ "step": 245
353
+ },
354
+ {
355
+ "epoch": 0.67,
356
+ "grad_norm": 1.1781166791915894,
357
+ "learning_rate": 1.2560670557032108e-05,
358
+ "loss": 0.4172,
359
+ "step": 250
360
+ },
361
+ {
362
+ "epoch": 0.68,
363
+ "grad_norm": 1.1555372476577759,
364
+ "learning_rate": 1.1661117155019293e-05,
365
+ "loss": 0.3712,
366
+ "step": 255
367
+ },
368
+ {
369
+ "epoch": 0.69,
370
+ "grad_norm": 1.105285882949829,
371
+ "learning_rate": 1.0785089973656337e-05,
372
+ "loss": 0.5507,
373
+ "step": 260
374
+ },
375
+ {
376
+ "epoch": 0.71,
377
+ "grad_norm": 1.9189614057540894,
378
+ "learning_rate": 9.934134090518593e-06,
379
+ "loss": 0.5309,
380
+ "step": 265
381
+ },
382
+ {
383
+ "epoch": 0.72,
384
+ "grad_norm": 0.8669947981834412,
385
+ "learning_rate": 9.109750364118924e-06,
386
+ "loss": 0.4294,
387
+ "step": 270
388
+ },
389
+ {
390
+ "epoch": 0.73,
391
+ "grad_norm": 0.755587637424469,
392
+ "learning_rate": 8.313392786794833e-06,
393
+ "loss": 0.4236,
394
+ "step": 275
395
+ },
396
+ {
397
+ "epoch": 0.75,
398
+ "grad_norm": 1.1405256986618042,
399
+ "learning_rate": 7.546465920254974e-06,
400
+ "loss": 0.555,
401
+ "step": 280
402
+ },
403
+ {
404
+ "epoch": 0.76,
405
+ "grad_norm": 1.6737154722213745,
406
+ "learning_rate": 6.810322418308085e-06,
407
+ "loss": 0.5034,
408
+ "step": 285
409
+ },
410
+ {
411
+ "epoch": 0.77,
412
+ "grad_norm": 1.107371211051941,
413
+ "learning_rate": 6.106260641143546e-06,
414
+ "loss": 0.4616,
415
+ "step": 290
416
+ },
417
+ {
418
+ "epoch": 0.79,
419
+ "grad_norm": 1.2634700536727905,
420
+ "learning_rate": 5.435522365371376e-06,
421
+ "loss": 0.456,
422
+ "step": 295
423
+ },
424
+ {
425
+ "epoch": 0.8,
426
+ "grad_norm": 0.8122715950012207,
427
+ "learning_rate": 4.799290593860525e-06,
428
+ "loss": 0.4582,
429
+ "step": 300
430
+ },
431
+ {
432
+ "epoch": 0.81,
433
+ "grad_norm": 1.333025336265564,
434
+ "learning_rate": 4.198687469238297e-06,
435
+ "loss": 0.3826,
436
+ "step": 305
437
+ },
438
+ {
439
+ "epoch": 0.83,
440
+ "grad_norm": 1.5998661518096924,
441
+ "learning_rate": 3.6347722947309843e-06,
442
+ "loss": 0.4933,
443
+ "step": 310
444
+ },
445
+ {
446
+ "epoch": 0.84,
447
+ "grad_norm": 1.3631378412246704,
448
+ "learning_rate": 3.108539665836388e-06,
449
+ "loss": 0.5099,
450
+ "step": 315
451
+ },
452
+ {
453
+ "epoch": 0.85,
454
+ "grad_norm": 0.714860200881958,
455
+ "learning_rate": 2.6209177161234445e-06,
456
+ "loss": 0.57,
457
+ "step": 320
458
+ },
459
+ {
460
+ "epoch": 0.87,
461
+ "grad_norm": 0.5441424250602722,
462
+ "learning_rate": 2.1727664802529216e-06,
463
+ "loss": 0.4737,
464
+ "step": 325
465
+ },
466
+ {
467
+ "epoch": 0.88,
468
+ "grad_norm": 1.4750747680664062,
469
+ "learning_rate": 1.7648763771063837e-06,
470
+ "loss": 0.4315,
471
+ "step": 330
472
+ },
473
+ {
474
+ "epoch": 0.89,
475
+ "grad_norm": 1.6141853332519531,
476
+ "learning_rate": 1.3979668156987425e-06,
477
+ "loss": 0.4254,
478
+ "step": 335
479
+ },
480
+ {
481
+ "epoch": 0.91,
482
+ "grad_norm": 1.2416565418243408,
483
+ "learning_rate": 1.0726849263332256e-06,
484
+ "loss": 0.3288,
485
+ "step": 340
486
+ },
487
+ {
488
+ "epoch": 0.92,
489
+ "grad_norm": 1.2494091987609863,
490
+ "learning_rate": 7.896044192366586e-07,
491
+ "loss": 0.2477,
492
+ "step": 345
493
+ },
494
+ {
495
+ "epoch": 0.93,
496
+ "grad_norm": 0.9337052702903748,
497
+ "learning_rate": 5.492245726881201e-07,
498
+ "loss": 0.453,
499
+ "step": 350
500
+ },
501
+ {
502
+ "epoch": 0.95,
503
+ "grad_norm": 1.0654840469360352,
504
+ "learning_rate": 3.51969352425624e-07,
505
+ "loss": 0.4833,
506
+ "step": 355
507
+ },
508
+ {
509
+ "epoch": 0.96,
510
+ "grad_norm": 1.7972078323364258,
511
+ "learning_rate": 1.981866638839952e-07,
512
+ "loss": 0.5507,
513
+ "step": 360
514
+ },
515
+ {
516
+ "epoch": 0.97,
517
+ "grad_norm": 1.450646996498108,
518
+ "learning_rate": 8.814773858275004e-08,
519
+ "loss": 0.379,
520
+ "step": 365
521
+ },
522
+ {
523
+ "epoch": 0.99,
524
+ "grad_norm": 1.490728497505188,
525
+ "learning_rate": 2.2046655746280064e-08,
526
+ "loss": 0.4705,
527
+ "step": 370
528
+ },
529
+ {
530
+ "epoch": 1.0,
531
+ "grad_norm": 0.9804399609565735,
532
+ "learning_rate": 0.0,
533
+ "loss": 0.4502,
534
+ "step": 375
535
+ },
536
+ {
537
+ "epoch": 1.0,
538
+ "step": 375,
539
+ "total_flos": 6.701975198539776e+16,
540
+ "train_loss": 0.5547979205449423,
541
+ "train_runtime": 23630.1849,
542
+ "train_samples_per_second": 0.127,
543
+ "train_steps_per_second": 0.016
544
+ }
545
+ ],
546
+ "logging_steps": 5,
547
+ "max_steps": 375,
548
+ "num_input_tokens_seen": 0,
549
+ "num_train_epochs": 1,
550
+ "save_steps": 10,
551
+ "total_flos": 6.701975198539776e+16,
552
+ "train_batch_size": 1,
553
+ "trial_name": null,
554
+ "trial_params": null
555
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c2b2a3419d3cb2cd66c9bbc4ca22151d520657e51fcc1826e0126e6e5734ac8d
3
+ size 5048