Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +56 -0
- all_results.json +15 -0
- config.json +42 -0
- eval_nbest_predictions.json +3 -0
- eval_predictions.json +0 -0
- eval_results.json +9 -0
- model.safetensors +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +86 -0
- train_results.json +9 -0
- trainer_state.json +607 -0
- training_args.bin +3 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
eval_nbest_predictions.json filter=lfs diff=lfs merge=lfs -text
|
README.md
ADDED
|
@@ -0,0 +1,56 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
license: apache-2.0
|
| 4 |
+
base_model: llm-jp/llm-jp-modernbert-base
|
| 5 |
+
tags:
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
datasets:
|
| 8 |
+
- sbintuitions/JSQuAD
|
| 9 |
+
model-index:
|
| 10 |
+
- name: output
|
| 11 |
+
results: []
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
+
|
| 17 |
+
# output
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [llm-jp/llm-jp-modernbert-base](https://huggingface.co/llm-jp/llm-jp-modernbert-base) on the sbintuitions/JSQuAD dataset.
|
| 20 |
+
|
| 21 |
+
## Model description
|
| 22 |
+
|
| 23 |
+
More information needed
|
| 24 |
+
|
| 25 |
+
## Intended uses & limitations
|
| 26 |
+
|
| 27 |
+
More information needed
|
| 28 |
+
|
| 29 |
+
## Training and evaluation data
|
| 30 |
+
|
| 31 |
+
More information needed
|
| 32 |
+
|
| 33 |
+
## Training procedure
|
| 34 |
+
|
| 35 |
+
### Training hyperparameters
|
| 36 |
+
|
| 37 |
+
The following hyperparameters were used during training:
|
| 38 |
+
- learning_rate: 4e-05
|
| 39 |
+
- train_batch_size: 16
|
| 40 |
+
- eval_batch_size: 8
|
| 41 |
+
- seed: 42
|
| 42 |
+
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 43 |
+
- lr_scheduler_type: cosine
|
| 44 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 45 |
+
- num_epochs: 2.0
|
| 46 |
+
|
| 47 |
+
### Training results
|
| 48 |
+
|
| 49 |
+
|
| 50 |
+
|
| 51 |
+
### Framework versions
|
| 52 |
+
|
| 53 |
+
- Transformers 4.52.4
|
| 54 |
+
- Pytorch 2.10.0.dev20251211+cu128
|
| 55 |
+
- Datasets 4.4.1
|
| 56 |
+
- Tokenizers 0.21.4
|
all_results.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.0,
|
| 3 |
+
"eval_exact_match": 87.9783881134624,
|
| 4 |
+
"eval_f1": 88.03091700435239,
|
| 5 |
+
"eval_runtime": 19.8311,
|
| 6 |
+
"eval_samples": 4442,
|
| 7 |
+
"eval_samples_per_second": 223.991,
|
| 8 |
+
"eval_steps_per_second": 28.037,
|
| 9 |
+
"total_flos": 4.284348397959168e+16,
|
| 10 |
+
"train_loss": 0.5882660921596692,
|
| 11 |
+
"train_runtime": 1480.7732,
|
| 12 |
+
"train_samples": 62865,
|
| 13 |
+
"train_samples_per_second": 84.908,
|
| 14 |
+
"train_steps_per_second": 5.308
|
| 15 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"ModernBertForQuestionAnswering"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 5,
|
| 8 |
+
"classifier_activation": "gelu",
|
| 9 |
+
"classifier_bias": false,
|
| 10 |
+
"classifier_dropout": 0.0,
|
| 11 |
+
"classifier_pooling": "cls",
|
| 12 |
+
"cls_token_id": 5,
|
| 13 |
+
"decoder_bias": true,
|
| 14 |
+
"deterministic_flash_attn": false,
|
| 15 |
+
"embedding_dropout": 0.0,
|
| 16 |
+
"eos_token_id": 6,
|
| 17 |
+
"global_attn_every_n_layers": 3,
|
| 18 |
+
"global_rope_theta": 10000.0,
|
| 19 |
+
"hidden_activation": "gelu",
|
| 20 |
+
"hidden_size": 768,
|
| 21 |
+
"initializer_cutoff_factor": 2.0,
|
| 22 |
+
"initializer_range": 0.02,
|
| 23 |
+
"intermediate_size": 1152,
|
| 24 |
+
"local_attention": 128,
|
| 25 |
+
"local_rope_theta": 10000.0,
|
| 26 |
+
"max_position_embeddings": 8192,
|
| 27 |
+
"mlp_bias": false,
|
| 28 |
+
"mlp_dropout": 0.0,
|
| 29 |
+
"model_type": "modernbert",
|
| 30 |
+
"norm_bias": false,
|
| 31 |
+
"norm_eps": 1e-05,
|
| 32 |
+
"num_attention_heads": 12,
|
| 33 |
+
"num_hidden_layers": 22,
|
| 34 |
+
"pad_token_id": 4,
|
| 35 |
+
"repad_logits_with_grad": false,
|
| 36 |
+
"sep_token_id": 6,
|
| 37 |
+
"sparse_pred_ignore_index": -100,
|
| 38 |
+
"sparse_prediction": false,
|
| 39 |
+
"torch_dtype": "float32",
|
| 40 |
+
"transformers_version": "4.52.4",
|
| 41 |
+
"vocab_size": 99574
|
| 42 |
+
}
|
eval_nbest_predictions.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5e5ea5570d46ab43aa4b55dbcdef4e5c46cc6b5f03bdebd3ce17da6f63f0f6a0
|
| 3 |
+
size 21926555
|
eval_predictions.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
eval_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.0,
|
| 3 |
+
"eval_exact_match": 87.9783881134624,
|
| 4 |
+
"eval_f1": 88.03091700435239,
|
| 5 |
+
"eval_runtime": 19.8311,
|
| 6 |
+
"eval_samples": 4442,
|
| 7 |
+
"eval_samples_per_second": 223.991,
|
| 8 |
+
"eval_steps_per_second": 28.037
|
| 9 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2aee8f70682f9064c2325273a3b27b272b196c9b1a2e217ba2625ec70c6fb65e
|
| 3 |
+
size 749600616
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"cls_token": {
|
| 10 |
+
"content": "<CLS|LLM-jp>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"eos_token": {
|
| 17 |
+
"content": "</s>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"mask_token": {
|
| 24 |
+
"content": "<MASK|LLM-jp>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"pad_token": {
|
| 31 |
+
"content": "<PAD|LLM-jp>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
},
|
| 37 |
+
"sep_token": {
|
| 38 |
+
"content": "<SEP|LLM-jp>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false
|
| 43 |
+
},
|
| 44 |
+
"unk_token": {
|
| 45 |
+
"content": "<unk>",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": false,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false
|
| 50 |
+
}
|
| 51 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,86 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "<unk>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "<s>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "</s>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"3": {
|
| 28 |
+
"content": "<MASK|LLM-jp>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"4": {
|
| 36 |
+
"content": "<PAD|LLM-jp>",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
},
|
| 43 |
+
"5": {
|
| 44 |
+
"content": "<CLS|LLM-jp>",
|
| 45 |
+
"lstrip": false,
|
| 46 |
+
"normalized": false,
|
| 47 |
+
"rstrip": false,
|
| 48 |
+
"single_word": false,
|
| 49 |
+
"special": true
|
| 50 |
+
},
|
| 51 |
+
"6": {
|
| 52 |
+
"content": "<SEP|LLM-jp>",
|
| 53 |
+
"lstrip": false,
|
| 54 |
+
"normalized": false,
|
| 55 |
+
"rstrip": false,
|
| 56 |
+
"single_word": false,
|
| 57 |
+
"special": true
|
| 58 |
+
},
|
| 59 |
+
"7": {
|
| 60 |
+
"content": "<EOD|LLM-jp>",
|
| 61 |
+
"lstrip": false,
|
| 62 |
+
"normalized": false,
|
| 63 |
+
"rstrip": false,
|
| 64 |
+
"single_word": false,
|
| 65 |
+
"special": true
|
| 66 |
+
}
|
| 67 |
+
},
|
| 68 |
+
"bos_token": "<s>",
|
| 69 |
+
"clean_up_tokenization_spaces": false,
|
| 70 |
+
"cls_token": "<CLS|LLM-jp>",
|
| 71 |
+
"eod_token": "</s>",
|
| 72 |
+
"eos_token": "</s>",
|
| 73 |
+
"extra_ids": 0,
|
| 74 |
+
"extra_special_tokens": {},
|
| 75 |
+
"mask_token": "<MASK|LLM-jp>",
|
| 76 |
+
"model_input_names": [
|
| 77 |
+
"input_ids",
|
| 78 |
+
"attention_mask"
|
| 79 |
+
],
|
| 80 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 81 |
+
"pad_token": "<PAD|LLM-jp>",
|
| 82 |
+
"sep_token": "<SEP|LLM-jp>",
|
| 83 |
+
"sp_model_kwargs": {},
|
| 84 |
+
"tokenizer_class": "PreTrainedTokenizer",
|
| 85 |
+
"unk_token": "<unk>"
|
| 86 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.0,
|
| 3 |
+
"total_flos": 4.284348397959168e+16,
|
| 4 |
+
"train_loss": 0.5882660921596692,
|
| 5 |
+
"train_runtime": 1480.7732,
|
| 6 |
+
"train_samples": 62865,
|
| 7 |
+
"train_samples_per_second": 84.908,
|
| 8 |
+
"train_steps_per_second": 5.308
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,607 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 2.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 7860,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.02544529262086514,
|
| 14 |
+
"grad_norm": 14.018085479736328,
|
| 15 |
+
"learning_rate": 5.038167938931297e-06,
|
| 16 |
+
"loss": 5.495,
|
| 17 |
+
"step": 100
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.05089058524173028,
|
| 21 |
+
"grad_norm": 17.718544006347656,
|
| 22 |
+
"learning_rate": 1.0127226463104327e-05,
|
| 23 |
+
"loss": 3.2381,
|
| 24 |
+
"step": 200
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.07633587786259542,
|
| 28 |
+
"grad_norm": 34.95506286621094,
|
| 29 |
+
"learning_rate": 1.5216284987277354e-05,
|
| 30 |
+
"loss": 2.3499,
|
| 31 |
+
"step": 300
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.10178117048346055,
|
| 35 |
+
"grad_norm": 18.550844192504883,
|
| 36 |
+
"learning_rate": 2.0305343511450384e-05,
|
| 37 |
+
"loss": 1.6151,
|
| 38 |
+
"step": 400
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.1272264631043257,
|
| 42 |
+
"grad_norm": 19.01876449584961,
|
| 43 |
+
"learning_rate": 2.5394402035623415e-05,
|
| 44 |
+
"loss": 1.2363,
|
| 45 |
+
"step": 500
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.15267175572519084,
|
| 49 |
+
"grad_norm": 10.618987083435059,
|
| 50 |
+
"learning_rate": 3.048346055979644e-05,
|
| 51 |
+
"loss": 1.1415,
|
| 52 |
+
"step": 600
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.178117048346056,
|
| 56 |
+
"grad_norm": 15.46481990814209,
|
| 57 |
+
"learning_rate": 3.557251908396947e-05,
|
| 58 |
+
"loss": 0.9468,
|
| 59 |
+
"step": 700
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.2035623409669211,
|
| 63 |
+
"grad_norm": 11.06924057006836,
|
| 64 |
+
"learning_rate": 3.9999666684789474e-05,
|
| 65 |
+
"loss": 0.8361,
|
| 66 |
+
"step": 800
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.22900763358778625,
|
| 70 |
+
"grad_norm": 53.707664489746094,
|
| 71 |
+
"learning_rate": 3.997482117988182e-05,
|
| 72 |
+
"loss": 0.7264,
|
| 73 |
+
"step": 900
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.2544529262086514,
|
| 77 |
+
"grad_norm": 9.740643501281738,
|
| 78 |
+
"learning_rate": 3.99105861127605e-05,
|
| 79 |
+
"loss": 0.7597,
|
| 80 |
+
"step": 1000
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.27989821882951654,
|
| 84 |
+
"grad_norm": 16.776819229125977,
|
| 85 |
+
"learning_rate": 3.980708815245299e-05,
|
| 86 |
+
"loss": 0.7007,
|
| 87 |
+
"step": 1100
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.3053435114503817,
|
| 91 |
+
"grad_norm": 8.06242847442627,
|
| 92 |
+
"learning_rate": 3.9664531392868807e-05,
|
| 93 |
+
"loss": 0.6887,
|
| 94 |
+
"step": 1200
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.33078880407124683,
|
| 98 |
+
"grad_norm": 12.792263984680176,
|
| 99 |
+
"learning_rate": 3.9483196950334345e-05,
|
| 100 |
+
"loss": 0.6555,
|
| 101 |
+
"step": 1300
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.356234096692112,
|
| 105 |
+
"grad_norm": 24.67995834350586,
|
| 106 |
+
"learning_rate": 3.9263442409242555e-05,
|
| 107 |
+
"loss": 0.6284,
|
| 108 |
+
"step": 1400
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.3816793893129771,
|
| 112 |
+
"grad_norm": 10.594704627990723,
|
| 113 |
+
"learning_rate": 3.9005701116910544e-05,
|
| 114 |
+
"loss": 0.66,
|
| 115 |
+
"step": 1500
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.4071246819338422,
|
| 119 |
+
"grad_norm": 16.927017211914062,
|
| 120 |
+
"learning_rate": 3.871048132903571e-05,
|
| 121 |
+
"loss": 0.6219,
|
| 122 |
+
"step": 1600
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.43256997455470736,
|
| 126 |
+
"grad_norm": 11.569594383239746,
|
| 127 |
+
"learning_rate": 3.8378365207435505e-05,
|
| 128 |
+
"loss": 0.5795,
|
| 129 |
+
"step": 1700
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.4580152671755725,
|
| 133 |
+
"grad_norm": 7.332423210144043,
|
| 134 |
+
"learning_rate": 3.801000767204719e-05,
|
| 135 |
+
"loss": 0.602,
|
| 136 |
+
"step": 1800
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.48346055979643765,
|
| 140 |
+
"grad_norm": 15.542613983154297,
|
| 141 |
+
"learning_rate": 3.7606135109451464e-05,
|
| 142 |
+
"loss": 0.5607,
|
| 143 |
+
"step": 1900
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.5089058524173028,
|
| 147 |
+
"grad_norm": 4.43936824798584,
|
| 148 |
+
"learning_rate": 3.7167543940466696e-05,
|
| 149 |
+
"loss": 0.6086,
|
| 150 |
+
"step": 2000
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.5343511450381679,
|
| 154 |
+
"grad_norm": 12.216741561889648,
|
| 155 |
+
"learning_rate": 3.6695099049638365e-05,
|
| 156 |
+
"loss": 0.5765,
|
| 157 |
+
"step": 2100
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.5597964376590331,
|
| 161 |
+
"grad_norm": 10.111679077148438,
|
| 162 |
+
"learning_rate": 3.618973207972071e-05,
|
| 163 |
+
"loss": 0.5982,
|
| 164 |
+
"step": 2200
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.5852417302798982,
|
| 168 |
+
"grad_norm": 11.400161743164062,
|
| 169 |
+
"learning_rate": 3.5652439594513904e-05,
|
| 170 |
+
"loss": 0.5568,
|
| 171 |
+
"step": 2300
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.6106870229007634,
|
| 175 |
+
"grad_norm": 5.88036584854126,
|
| 176 |
+
"learning_rate": 3.508428111367932e-05,
|
| 177 |
+
"loss": 0.5134,
|
| 178 |
+
"step": 2400
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.6361323155216285,
|
| 182 |
+
"grad_norm": 5.014535903930664,
|
| 183 |
+
"learning_rate": 3.44863770234085e-05,
|
| 184 |
+
"loss": 0.4753,
|
| 185 |
+
"step": 2500
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.6615776081424937,
|
| 189 |
+
"grad_norm": 7.856019496917725,
|
| 190 |
+
"learning_rate": 3.385990636706554e-05,
|
| 191 |
+
"loss": 0.5562,
|
| 192 |
+
"step": 2600
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.6870229007633588,
|
| 196 |
+
"grad_norm": 2.1098134517669678,
|
| 197 |
+
"learning_rate": 3.3206104520160004e-05,
|
| 198 |
+
"loss": 0.5474,
|
| 199 |
+
"step": 2700
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.712468193384224,
|
| 203 |
+
"grad_norm": 6.840382099151611,
|
| 204 |
+
"learning_rate": 3.252626075423488e-05,
|
| 205 |
+
"loss": 0.4687,
|
| 206 |
+
"step": 2800
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.7379134860050891,
|
| 210 |
+
"grad_norm": 11.738897323608398,
|
| 211 |
+
"learning_rate": 3.1821715694473885e-05,
|
| 212 |
+
"loss": 0.548,
|
| 213 |
+
"step": 2900
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.7633587786259542,
|
| 217 |
+
"grad_norm": 9.473503112792969,
|
| 218 |
+
"learning_rate": 3.10938586760412e-05,
|
| 219 |
+
"loss": 0.4915,
|
| 220 |
+
"step": 3000
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.7888040712468194,
|
| 224 |
+
"grad_norm": 6.523691177368164,
|
| 225 |
+
"learning_rate": 3.0344125004367205e-05,
|
| 226 |
+
"loss": 0.4947,
|
| 227 |
+
"step": 3100
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.8142493638676844,
|
| 231 |
+
"grad_norm": 5.054864883422852,
|
| 232 |
+
"learning_rate": 2.9573993124782555e-05,
|
| 233 |
+
"loss": 0.5223,
|
| 234 |
+
"step": 3200
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.8396946564885496,
|
| 238 |
+
"grad_norm": 9.77381420135498,
|
| 239 |
+
"learning_rate": 2.8784981707082113e-05,
|
| 240 |
+
"loss": 0.4955,
|
| 241 |
+
"step": 3300
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.8651399491094147,
|
| 245 |
+
"grad_norm": 4.1154584884643555,
|
| 246 |
+
"learning_rate": 2.7978646650767803e-05,
|
| 247 |
+
"loss": 0.4927,
|
| 248 |
+
"step": 3400
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.8905852417302799,
|
| 252 |
+
"grad_norm": 16.85251235961914,
|
| 253 |
+
"learning_rate": 2.7156578016875935e-05,
|
| 254 |
+
"loss": 0.5009,
|
| 255 |
+
"step": 3500
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.916030534351145,
|
| 259 |
+
"grad_norm": 10.117000579833984,
|
| 260 |
+
"learning_rate": 2.632039689243941e-05,
|
| 261 |
+
"loss": 0.4807,
|
| 262 |
+
"step": 3600
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.9414758269720102,
|
| 266 |
+
"grad_norm": 6.332391262054443,
|
| 267 |
+
"learning_rate": 2.5471752193767702e-05,
|
| 268 |
+
"loss": 0.5069,
|
| 269 |
+
"step": 3700
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.9669211195928753,
|
| 273 |
+
"grad_norm": 10.722579956054688,
|
| 274 |
+
"learning_rate": 2.4612317414848804e-05,
|
| 275 |
+
"loss": 0.5103,
|
| 276 |
+
"step": 3800
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.9923664122137404,
|
| 280 |
+
"grad_norm": 3.0242695808410645,
|
| 281 |
+
"learning_rate": 2.374378732728483e-05,
|
| 282 |
+
"loss": 0.4559,
|
| 283 |
+
"step": 3900
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 1.0,
|
| 287 |
+
"eval_exact_match": 86.28995947771274,
|
| 288 |
+
"eval_f1": 86.33873630496772,
|
| 289 |
+
"eval_runtime": 19.9463,
|
| 290 |
+
"eval_samples_per_second": 222.698,
|
| 291 |
+
"eval_steps_per_second": 27.875,
|
| 292 |
+
"step": 3930
|
| 293 |
+
},
|
| 294 |
+
{
|
| 295 |
+
"epoch": 1.0178117048346056,
|
| 296 |
+
"grad_norm": 9.833579063415527,
|
| 297 |
+
"learning_rate": 2.2867874638269023e-05,
|
| 298 |
+
"loss": 0.3774,
|
| 299 |
+
"step": 4000
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 1.0432569974554706,
|
| 303 |
+
"grad_norm": 3.0543391704559326,
|
| 304 |
+
"learning_rate": 2.1986306613194482e-05,
|
| 305 |
+
"loss": 0.3241,
|
| 306 |
+
"step": 4100
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"epoch": 1.0687022900763359,
|
| 310 |
+
"grad_norm": 1.1584059000015259,
|
| 311 |
+
"learning_rate": 2.1100821669554764e-05,
|
| 312 |
+
"loss": 0.3121,
|
| 313 |
+
"step": 4200
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"epoch": 1.094147582697201,
|
| 317 |
+
"grad_norm": 2.015965461730957,
|
| 318 |
+
"learning_rate": 2.0213165948852832e-05,
|
| 319 |
+
"loss": 0.3262,
|
| 320 |
+
"step": 4300
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 1.1195928753180662,
|
| 324 |
+
"grad_norm": 2.360656499862671,
|
| 325 |
+
"learning_rate": 1.9325089873278702e-05,
|
| 326 |
+
"loss": 0.2852,
|
| 327 |
+
"step": 4400
|
| 328 |
+
},
|
| 329 |
+
{
|
| 330 |
+
"epoch": 1.1450381679389312,
|
| 331 |
+
"grad_norm": 11.277798652648926,
|
| 332 |
+
"learning_rate": 1.8438344693945684e-05,
|
| 333 |
+
"loss": 0.2839,
|
| 334 |
+
"step": 4500
|
| 335 |
+
},
|
| 336 |
+
{
|
| 337 |
+
"epoch": 1.1704834605597965,
|
| 338 |
+
"grad_norm": 14.375648498535156,
|
| 339 |
+
"learning_rate": 1.7554679037491995e-05,
|
| 340 |
+
"loss": 0.3317,
|
| 341 |
+
"step": 4600
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 1.1959287531806615,
|
| 345 |
+
"grad_norm": 6.140357494354248,
|
| 346 |
+
"learning_rate": 1.667583545785781e-05,
|
| 347 |
+
"loss": 0.3063,
|
| 348 |
+
"step": 4700
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"epoch": 1.2213740458015268,
|
| 352 |
+
"grad_norm": 9.926220893859863,
|
| 353 |
+
"learning_rate": 1.5803547000037324e-05,
|
| 354 |
+
"loss": 0.3466,
|
| 355 |
+
"step": 4800
|
| 356 |
+
},
|
| 357 |
+
{
|
| 358 |
+
"epoch": 1.2468193384223918,
|
| 359 |
+
"grad_norm": 1.1600242853164673,
|
| 360 |
+
"learning_rate": 1.493953378258222e-05,
|
| 361 |
+
"loss": 0.3031,
|
| 362 |
+
"step": 4900
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 1.272264631043257,
|
| 366 |
+
"grad_norm": 8.765625953674316,
|
| 367 |
+
"learning_rate": 1.4085499605595403e-05,
|
| 368 |
+
"loss": 0.2756,
|
| 369 |
+
"step": 5000
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 1.297709923664122,
|
| 373 |
+
"grad_norm": 10.345256805419922,
|
| 374 |
+
"learning_rate": 1.3243128590904269e-05,
|
| 375 |
+
"loss": 0.3013,
|
| 376 |
+
"step": 5100
|
| 377 |
+
},
|
| 378 |
+
{
|
| 379 |
+
"epoch": 1.3231552162849873,
|
| 380 |
+
"grad_norm": 3.349202871322632,
|
| 381 |
+
"learning_rate": 1.2414081861038584e-05,
|
| 382 |
+
"loss": 0.2554,
|
| 383 |
+
"step": 5200
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 1.3486005089058524,
|
| 387 |
+
"grad_norm": 7.207827091217041,
|
| 388 |
+
"learning_rate": 1.1599994263562202e-05,
|
| 389 |
+
"loss": 0.2758,
|
| 390 |
+
"step": 5300
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 1.3740458015267176,
|
| 394 |
+
"grad_norm": 3.8416330814361572,
|
| 395 |
+
"learning_rate": 1.0802471147217876e-05,
|
| 396 |
+
"loss": 0.3062,
|
| 397 |
+
"step": 5400
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"epoch": 1.3994910941475827,
|
| 401 |
+
"grad_norm": 3.0882201194763184,
|
| 402 |
+
"learning_rate": 1.0023085196242704e-05,
|
| 403 |
+
"loss": 0.3213,
|
| 404 |
+
"step": 5500
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 1.424936386768448,
|
| 408 |
+
"grad_norm": 3.281527280807495,
|
| 409 |
+
"learning_rate": 9.263373329096565e-06,
|
| 410 |
+
"loss": 0.2757,
|
| 411 |
+
"step": 5600
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 1.450381679389313,
|
| 415 |
+
"grad_norm": 4.6003217697143555,
|
| 416 |
+
"learning_rate": 8.524833667719368e-06,
|
| 417 |
+
"loss": 0.2978,
|
| 418 |
+
"step": 5700
|
| 419 |
+
},
|
| 420 |
+
{
|
| 421 |
+
"epoch": 1.4758269720101782,
|
| 422 |
+
"grad_norm": 2.5000410079956055,
|
| 423 |
+
"learning_rate": 7.808922583293472e-06,
|
| 424 |
+
"loss": 0.2816,
|
| 425 |
+
"step": 5800
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 1.5012722646310432,
|
| 429 |
+
"grad_norm": 2.911534309387207,
|
| 430 |
+
"learning_rate": 7.117051824336958e-06,
|
| 431 |
+
"loss": 0.2674,
|
| 432 |
+
"step": 5900
|
| 433 |
+
},
|
| 434 |
+
{
|
| 435 |
+
"epoch": 1.5267175572519083,
|
| 436 |
+
"grad_norm": 9.231036186218262,
|
| 437 |
+
"learning_rate": 6.450585732791013e-06,
|
| 438 |
+
"loss": 0.3186,
|
| 439 |
+
"step": 6000
|
| 440 |
+
},
|
| 441 |
+
{
|
| 442 |
+
"epoch": 1.5521628498727735,
|
| 443 |
+
"grad_norm": 4.873745918273926,
|
| 444 |
+
"learning_rate": 5.810838553591298e-06,
|
| 445 |
+
"loss": 0.2834,
|
| 446 |
+
"step": 6100
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 1.5776081424936388,
|
| 450 |
+
"grad_norm": 5.407022953033447,
|
| 451 |
+
"learning_rate": 5.199071843028569e-06,
|
| 452 |
+
"loss": 0.2999,
|
| 453 |
+
"step": 6200
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 1.6030534351145038,
|
| 457 |
+
"grad_norm": 3.650712728500366,
|
| 458 |
+
"learning_rate": 4.616491981009243e-06,
|
| 459 |
+
"loss": 0.2596,
|
| 460 |
+
"step": 6300
|
| 461 |
+
},
|
| 462 |
+
{
|
| 463 |
+
"epoch": 1.6284987277353689,
|
| 464 |
+
"grad_norm": 3.6443347930908203,
|
| 465 |
+
"learning_rate": 4.064247792121691e-06,
|
| 466 |
+
"loss": 0.3064,
|
| 467 |
+
"step": 6400
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 1.6539440203562341,
|
| 471 |
+
"grad_norm": 7.009209156036377,
|
| 472 |
+
"learning_rate": 3.5434282801992483e-06,
|
| 473 |
+
"loss": 0.3195,
|
| 474 |
+
"step": 6500
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 1.6793893129770994,
|
| 478 |
+
"grad_norm": 5.872575759887695,
|
| 479 |
+
"learning_rate": 3.0550604808475073e-06,
|
| 480 |
+
"loss": 0.2682,
|
| 481 |
+
"step": 6600
|
| 482 |
+
},
|
| 483 |
+
{
|
| 484 |
+
"epoch": 1.7048346055979644,
|
| 485 |
+
"grad_norm": 4.577968120574951,
|
| 486 |
+
"learning_rate": 2.6001074361704427e-06,
|
| 487 |
+
"loss": 0.3039,
|
| 488 |
+
"step": 6700
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 1.7302798982188294,
|
| 492 |
+
"grad_norm": 9.756656646728516,
|
| 493 |
+
"learning_rate": 2.1794662956892585e-06,
|
| 494 |
+
"loss": 0.2726,
|
| 495 |
+
"step": 6800
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 1.7557251908396947,
|
| 499 |
+
"grad_norm": 11.115859985351562,
|
| 500 |
+
"learning_rate": 1.7939665471987844e-06,
|
| 501 |
+
"loss": 0.2947,
|
| 502 |
+
"step": 6900
|
| 503 |
+
},
|
| 504 |
+
{
|
| 505 |
+
"epoch": 1.78117048346056,
|
| 506 |
+
"grad_norm": 3.8502421379089355,
|
| 507 |
+
"learning_rate": 1.4443683810501563e-06,
|
| 508 |
+
"loss": 0.2809,
|
| 509 |
+
"step": 7000
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"epoch": 1.806615776081425,
|
| 513 |
+
"grad_norm": 11.346807479858398,
|
| 514 |
+
"learning_rate": 1.1313611910853096e-06,
|
| 515 |
+
"loss": 0.3048,
|
| 516 |
+
"step": 7100
|
| 517 |
+
},
|
| 518 |
+
{
|
| 519 |
+
"epoch": 1.83206106870229,
|
| 520 |
+
"grad_norm": 10.86630916595459,
|
| 521 |
+
"learning_rate": 8.555622151794352e-07,
|
| 522 |
+
"loss": 0.286,
|
| 523 |
+
"step": 7200
|
| 524 |
+
},
|
| 525 |
+
{
|
| 526 |
+
"epoch": 1.8575063613231553,
|
| 527 |
+
"grad_norm": 4.079004287719727,
|
| 528 |
+
"learning_rate": 6.175153180721571e-07,
|
| 529 |
+
"loss": 0.2853,
|
| 530 |
+
"step": 7300
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 1.8829516539440203,
|
| 534 |
+
"grad_norm": 18.409320831298828,
|
| 535 |
+
"learning_rate": 4.176899188876271e-07,
|
| 536 |
+
"loss": 0.2629,
|
| 537 |
+
"step": 7400
|
| 538 |
+
},
|
| 539 |
+
{
|
| 540 |
+
"epoch": 1.9083969465648853,
|
| 541 |
+
"grad_norm": 0.5087906718254089,
|
| 542 |
+
"learning_rate": 2.564800654584687e-07,
|
| 543 |
+
"loss": 0.2831,
|
| 544 |
+
"step": 7500
|
| 545 |
+
},
|
| 546 |
+
{
|
| 547 |
+
"epoch": 1.9338422391857506,
|
| 548 |
+
"grad_norm": 6.566995620727539,
|
| 549 |
+
"learning_rate": 1.342036572789507e-07,
|
| 550 |
+
"loss": 0.3214,
|
| 551 |
+
"step": 7600
|
| 552 |
+
},
|
| 553 |
+
{
|
| 554 |
+
"epoch": 1.9592875318066159,
|
| 555 |
+
"grad_norm": 11.18786334991455,
|
| 556 |
+
"learning_rate": 5.1101818619667677e-08,
|
| 557 |
+
"loss": 0.3245,
|
| 558 |
+
"step": 7700
|
| 559 |
+
},
|
| 560 |
+
{
|
| 561 |
+
"epoch": 1.984732824427481,
|
| 562 |
+
"grad_norm": 1.765227198600769,
|
| 563 |
+
"learning_rate": 7.338423039955356e-09,
|
| 564 |
+
"loss": 0.2703,
|
| 565 |
+
"step": 7800
|
| 566 |
+
},
|
| 567 |
+
{
|
| 568 |
+
"epoch": 2.0,
|
| 569 |
+
"eval_exact_match": 87.9783881134624,
|
| 570 |
+
"eval_f1": 88.03091700435239,
|
| 571 |
+
"eval_runtime": 20.4577,
|
| 572 |
+
"eval_samples_per_second": 217.131,
|
| 573 |
+
"eval_steps_per_second": 27.178,
|
| 574 |
+
"step": 7860
|
| 575 |
+
},
|
| 576 |
+
{
|
| 577 |
+
"epoch": 2.0,
|
| 578 |
+
"step": 7860,
|
| 579 |
+
"total_flos": 4.284348397959168e+16,
|
| 580 |
+
"train_loss": 0.5882660921596692,
|
| 581 |
+
"train_runtime": 1480.7732,
|
| 582 |
+
"train_samples_per_second": 84.908,
|
| 583 |
+
"train_steps_per_second": 5.308
|
| 584 |
+
}
|
| 585 |
+
],
|
| 586 |
+
"logging_steps": 100,
|
| 587 |
+
"max_steps": 7860,
|
| 588 |
+
"num_input_tokens_seen": 0,
|
| 589 |
+
"num_train_epochs": 2,
|
| 590 |
+
"save_steps": 500,
|
| 591 |
+
"stateful_callbacks": {
|
| 592 |
+
"TrainerControl": {
|
| 593 |
+
"args": {
|
| 594 |
+
"should_epoch_stop": false,
|
| 595 |
+
"should_evaluate": false,
|
| 596 |
+
"should_log": false,
|
| 597 |
+
"should_save": true,
|
| 598 |
+
"should_training_stop": true
|
| 599 |
+
},
|
| 600 |
+
"attributes": {}
|
| 601 |
+
}
|
| 602 |
+
},
|
| 603 |
+
"total_flos": 4.284348397959168e+16,
|
| 604 |
+
"train_batch_size": 16,
|
| 605 |
+
"trial_name": null,
|
| 606 |
+
"trial_params": null
|
| 607 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ef43baae43e94d2eb73cc7449719748b90a41b8bf04c08301b05f12f4f685d7b
|
| 3 |
+
size 5713
|