Pushing deberta-v3-large-offensive to hub
Browse files- README.md +98 -0
- added_tokens.json +3 -0
- all_results.json +14 -0
- config.json +43 -0
- eval_results.json +8 -0
- pytorch_model.bin +3 -0
- run_test.sh +1 -0
- run_train.sh +1 -0
- special_tokens_map.json +9 -0
- spm.model +3 -0
- test_results.json +8 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- trainer_state.json +580 -0
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,98 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: mit
|
3 |
+
tags:
|
4 |
+
- generated_from_trainer
|
5 |
+
metrics:
|
6 |
+
- accuracy
|
7 |
+
model-index:
|
8 |
+
- name: deberta-v3-large-offensive-lr7e-6-gas2-ls0.0
|
9 |
+
results: []
|
10 |
+
---
|
11 |
+
|
12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
13 |
+
should probably proofread and complete it, then remove this comment. -->
|
14 |
+
|
15 |
+
# deberta-v3-large-offensive-lr7e-6-gas2-ls0.0
|
16 |
+
|
17 |
+
This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on an unknown dataset.
|
18 |
+
It achieves the following results on the evaluation set:
|
19 |
+
- Loss: 1.3326
|
20 |
+
- Accuracy: 0.7832
|
21 |
+
|
22 |
+
## Model description
|
23 |
+
|
24 |
+
More information needed
|
25 |
+
|
26 |
+
## Intended uses & limitations
|
27 |
+
|
28 |
+
More information needed
|
29 |
+
|
30 |
+
## Training and evaluation data
|
31 |
+
|
32 |
+
More information needed
|
33 |
+
|
34 |
+
## Training procedure
|
35 |
+
|
36 |
+
### Training hyperparameters
|
37 |
+
|
38 |
+
The following hyperparameters were used during training:
|
39 |
+
- learning_rate: 7e-06
|
40 |
+
- train_batch_size: 16
|
41 |
+
- eval_batch_size: 16
|
42 |
+
- seed: 42
|
43 |
+
- gradient_accumulation_steps: 2
|
44 |
+
- total_train_batch_size: 32
|
45 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
46 |
+
- lr_scheduler_type: linear
|
47 |
+
- lr_scheduler_warmup_steps: 50
|
48 |
+
- num_epochs: 10.0
|
49 |
+
|
50 |
+
### Training results
|
51 |
+
|
52 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
53 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
54 |
+
| 0.6417 | 0.27 | 100 | 0.6283 | 0.6533 |
|
55 |
+
| 0.5105 | 0.54 | 200 | 0.4588 | 0.7915 |
|
56 |
+
| 0.4554 | 0.81 | 300 | 0.4500 | 0.7968 |
|
57 |
+
| 0.4212 | 1.08 | 400 | 0.4773 | 0.7938 |
|
58 |
+
| 0.4054 | 1.34 | 500 | 0.4311 | 0.7983 |
|
59 |
+
| 0.3922 | 1.61 | 600 | 0.4588 | 0.7998 |
|
60 |
+
| 0.3776 | 1.88 | 700 | 0.4367 | 0.8066 |
|
61 |
+
| 0.3535 | 2.15 | 800 | 0.4675 | 0.8074 |
|
62 |
+
| 0.33 | 2.42 | 900 | 0.4874 | 0.8021 |
|
63 |
+
| 0.3113 | 2.69 | 1000 | 0.4949 | 0.8044 |
|
64 |
+
| 0.3203 | 2.96 | 1100 | 0.4550 | 0.8059 |
|
65 |
+
| 0.248 | 3.23 | 1200 | 0.4858 | 0.8036 |
|
66 |
+
| 0.2478 | 3.49 | 1300 | 0.5299 | 0.8029 |
|
67 |
+
| 0.2371 | 3.76 | 1400 | 0.5013 | 0.7991 |
|
68 |
+
| 0.2388 | 4.03 | 1500 | 0.5520 | 0.8021 |
|
69 |
+
| 0.1744 | 4.3 | 1600 | 0.6687 | 0.7915 |
|
70 |
+
| 0.1788 | 4.57 | 1700 | 0.7560 | 0.7689 |
|
71 |
+
| 0.1652 | 4.84 | 1800 | 0.6985 | 0.7832 |
|
72 |
+
| 0.1596 | 5.11 | 1900 | 0.7191 | 0.7915 |
|
73 |
+
| 0.1214 | 5.38 | 2000 | 0.9097 | 0.7893 |
|
74 |
+
| 0.1432 | 5.64 | 2100 | 0.9184 | 0.7787 |
|
75 |
+
| 0.1145 | 5.91 | 2200 | 0.9620 | 0.7878 |
|
76 |
+
| 0.1069 | 6.18 | 2300 | 0.9489 | 0.7893 |
|
77 |
+
| 0.1012 | 6.45 | 2400 | 1.0107 | 0.7817 |
|
78 |
+
| 0.0942 | 6.72 | 2500 | 1.0021 | 0.7885 |
|
79 |
+
| 0.087 | 6.99 | 2600 | 1.1090 | 0.7915 |
|
80 |
+
| 0.0598 | 7.26 | 2700 | 1.1735 | 0.7795 |
|
81 |
+
| 0.0742 | 7.53 | 2800 | 1.1433 | 0.7817 |
|
82 |
+
| 0.073 | 7.79 | 2900 | 1.1343 | 0.7953 |
|
83 |
+
| 0.0553 | 8.06 | 3000 | 1.2258 | 0.7840 |
|
84 |
+
| 0.0474 | 8.33 | 3100 | 1.2461 | 0.7817 |
|
85 |
+
| 0.0515 | 8.6 | 3200 | 1.2996 | 0.7825 |
|
86 |
+
| 0.0551 | 8.87 | 3300 | 1.2819 | 0.7855 |
|
87 |
+
| 0.0541 | 9.14 | 3400 | 1.2808 | 0.7855 |
|
88 |
+
| 0.0465 | 9.41 | 3500 | 1.3398 | 0.7817 |
|
89 |
+
| 0.0407 | 9.68 | 3600 | 1.3231 | 0.7825 |
|
90 |
+
| 0.0343 | 9.94 | 3700 | 1.3330 | 0.7825 |
|
91 |
+
|
92 |
+
|
93 |
+
### Framework versions
|
94 |
+
|
95 |
+
- Transformers 4.20.0.dev0
|
96 |
+
- Pytorch 1.9.0
|
97 |
+
- Datasets 2.2.2
|
98 |
+
- Tokenizers 0.11.6
|
added_tokens.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"[MASK]": 128000
|
3 |
+
}
|
all_results.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"eval_accuracy": 0.7832326292991638,
|
4 |
+
"eval_loss": 1.3326470851898193,
|
5 |
+
"eval_runtime": 8.5044,
|
6 |
+
"eval_samples": 1324,
|
7 |
+
"eval_samples_per_second": 155.684,
|
8 |
+
"eval_steps_per_second": 9.76,
|
9 |
+
"train_loss": 0.20273424893297176,
|
10 |
+
"train_runtime": 2723.3449,
|
11 |
+
"train_samples": 11916,
|
12 |
+
"train_samples_per_second": 43.755,
|
13 |
+
"train_steps_per_second": 1.366
|
14 |
+
}
|
config.json
ADDED
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "microsoft/deberta-v3-large",
|
3 |
+
"architectures": [
|
4 |
+
"DebertaV2ForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"hidden_act": "gelu",
|
8 |
+
"hidden_dropout_prob": 0.1,
|
9 |
+
"hidden_size": 1024,
|
10 |
+
"id2label": {
|
11 |
+
"0": 0,
|
12 |
+
"1": 1
|
13 |
+
},
|
14 |
+
"initializer_range": 0.02,
|
15 |
+
"intermediate_size": 4096,
|
16 |
+
"label2id": {
|
17 |
+
"0": 0,
|
18 |
+
"1": 1
|
19 |
+
},
|
20 |
+
"layer_norm_eps": 1e-07,
|
21 |
+
"max_position_embeddings": 512,
|
22 |
+
"max_relative_positions": -1,
|
23 |
+
"model_type": "deberta-v2",
|
24 |
+
"norm_rel_ebd": "layer_norm",
|
25 |
+
"num_attention_heads": 16,
|
26 |
+
"num_hidden_layers": 24,
|
27 |
+
"pad_token_id": 0,
|
28 |
+
"pooler_dropout": 0,
|
29 |
+
"pooler_hidden_act": "gelu",
|
30 |
+
"pooler_hidden_size": 1024,
|
31 |
+
"pos_att_type": [
|
32 |
+
"p2c",
|
33 |
+
"c2p"
|
34 |
+
],
|
35 |
+
"position_biased_input": false,
|
36 |
+
"position_buckets": 256,
|
37 |
+
"relative_attention": true,
|
38 |
+
"share_att_key": true,
|
39 |
+
"torch_dtype": "float32",
|
40 |
+
"transformers_version": "4.20.0.dev0",
|
41 |
+
"type_vocab_size": 0,
|
42 |
+
"vocab_size": 128100
|
43 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"eval_accuracy": 0.8074018359184265,
|
3 |
+
"eval_loss": 0.4674627184867859,
|
4 |
+
"eval_runtime": 8.969,
|
5 |
+
"eval_samples": 1324,
|
6 |
+
"eval_samples_per_second": 147.62,
|
7 |
+
"eval_steps_per_second": 9.254
|
8 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6f7ba2e4b0f924fa51337948a3738d07bae7c09a72d54b9823fe22979c01793c
|
3 |
+
size 1740393387
|
run_test.sh
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
jbsub -queue x86_1h -cores 4+1 -mem 30g -require a100 -o outputs/train/tweet_eval2/offensive/deberta-v3-large-offensive-lr7e-6-gas2-ls0.0/test.log /dccstor/tslm/envs/anaconda3/envs/tslm-gen/bin/python train_clf.py --model_name_or_path outputs/train/tweet_eval2/offensive/deberta-v3-large-offensive-lr7e-6-gas2-ls0.0/best_checkpoint --train_file data/tweet_eval/offensive/train.csv --validation_file data/tweet_eval/offensive/validation.csv --test_file data/tweet_eval/offensive/test.csv --do_eval --do_predict --report_to none --per_device_eval_batch_size 16 --max_seq_length 256 --output_dir outputs/train/tweet_eval2/offensive/deberta-v3-large-offensive-lr7e-6-gas2-ls0.0/best_checkpoint
|
run_train.sh
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
jbsub -queue x86_6h -cores 4+1 -mem 30g -require a100 -o outputs/train/tweet_eval2/offensive/deberta-v3-large-offensive-lr7e-6-gas2-ls0.0/train.log /dccstor/tslm/envs/anaconda3/envs/tslm-gen/bin/python train_clf.py --model_name_or_path microsoft/deberta-v3-large --train_file data/tweet_eval/offensive/train.csv --validation_file data/tweet_eval/offensive/validation.csv --do_train --do_eval --per_device_train_batch_size 16 --per_device_eval_batch_size 16 --max_seq_length 256 --learning_rate 7e-6 --output_dir outputs/train/tweet_eval2/offensive/deberta-v3-large-offensive-lr7e-6-gas2-ls0.0 --evaluation_strategy steps --save_strategy no --warmup_steps 50 --num_train_epochs 10 --overwrite_output_dir --logging_steps 100 --gradient_accumulation_steps 2 --label_smoothing_factor 0.0 --report_to clearml --metric_for_best_model accuracy --logging_dir outputs/train/tweet_eval2/offensive/deberta-v3-large-offensive-lr7e-6-gas2-ls0.0/tb \; rm -rf outputs/train/tweet_eval2/offensive/deberta-v3-large-offensive-lr7e-6-gas2-ls0.0/tb \; rm -rf outputs/train/tweet_eval2/offensive/deberta-v3-large-offensive-lr7e-6-gas2-ls0.0/checkpoint-* \; . outputs/train/tweet_eval2/offensive/deberta-v3-large-offensive-lr7e-6-gas2-ls0.0/run_test.sh
|
special_tokens_map.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "[CLS]",
|
3 |
+
"cls_token": "[CLS]",
|
4 |
+
"eos_token": "[SEP]",
|
5 |
+
"mask_token": "[MASK]",
|
6 |
+
"pad_token": "[PAD]",
|
7 |
+
"sep_token": "[SEP]",
|
8 |
+
"unk_token": "[UNK]"
|
9 |
+
}
|
spm.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
|
3 |
+
size 2464616
|
test_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"eval_accuracy": 0.8639534711837769,
|
3 |
+
"eval_loss": 0.37321123480796814,
|
4 |
+
"eval_runtime": 5.5359,
|
5 |
+
"eval_samples_per_second": 155.35,
|
6 |
+
"eval_steps_per_second": 9.755,
|
7 |
+
"test_samples": 860
|
8 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "[CLS]",
|
3 |
+
"cls_token": "[CLS]",
|
4 |
+
"do_lower_case": false,
|
5 |
+
"eos_token": "[SEP]",
|
6 |
+
"mask_token": "[MASK]",
|
7 |
+
"name_or_path": "microsoft/deberta-v3-large",
|
8 |
+
"pad_token": "[PAD]",
|
9 |
+
"sep_token": "[SEP]",
|
10 |
+
"sp_model_kwargs": {},
|
11 |
+
"special_tokens_map_file": null,
|
12 |
+
"split_by_punct": false,
|
13 |
+
"tokenizer_class": "DebertaV2Tokenizer",
|
14 |
+
"unk_token": "[UNK]",
|
15 |
+
"vocab_type": "spm"
|
16 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,580 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 9.998657718120805,
|
5 |
+
"global_step": 3720,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.27,
|
12 |
+
"learning_rate": 6.904632152588556e-06,
|
13 |
+
"loss": 0.6417,
|
14 |
+
"step": 100
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.27,
|
18 |
+
"eval_accuracy": 0.653323233127594,
|
19 |
+
"eval_loss": 0.6283483505249023,
|
20 |
+
"eval_runtime": 8.5429,
|
21 |
+
"eval_samples_per_second": 154.983,
|
22 |
+
"eval_steps_per_second": 9.716,
|
23 |
+
"step": 100
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.54,
|
27 |
+
"learning_rate": 6.713896457765667e-06,
|
28 |
+
"loss": 0.5105,
|
29 |
+
"step": 200
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"epoch": 0.54,
|
33 |
+
"eval_accuracy": 0.791540801525116,
|
34 |
+
"eval_loss": 0.45882758498191833,
|
35 |
+
"eval_runtime": 8.3778,
|
36 |
+
"eval_samples_per_second": 158.036,
|
37 |
+
"eval_steps_per_second": 9.907,
|
38 |
+
"step": 200
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.81,
|
42 |
+
"learning_rate": 6.523160762942779e-06,
|
43 |
+
"loss": 0.4554,
|
44 |
+
"step": 300
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.81,
|
48 |
+
"eval_accuracy": 0.7968277931213379,
|
49 |
+
"eval_loss": 0.44999730587005615,
|
50 |
+
"eval_runtime": 8.4819,
|
51 |
+
"eval_samples_per_second": 156.097,
|
52 |
+
"eval_steps_per_second": 9.786,
|
53 |
+
"step": 300
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 1.08,
|
57 |
+
"learning_rate": 6.332425068119891e-06,
|
58 |
+
"loss": 0.4212,
|
59 |
+
"step": 400
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 1.08,
|
63 |
+
"eval_accuracy": 0.7938066720962524,
|
64 |
+
"eval_loss": 0.47725316882133484,
|
65 |
+
"eval_runtime": 8.3161,
|
66 |
+
"eval_samples_per_second": 159.209,
|
67 |
+
"eval_steps_per_second": 9.981,
|
68 |
+
"step": 400
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 1.34,
|
72 |
+
"learning_rate": 6.141689373297002e-06,
|
73 |
+
"loss": 0.4054,
|
74 |
+
"step": 500
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 1.34,
|
78 |
+
"eval_accuracy": 0.7983383536338806,
|
79 |
+
"eval_loss": 0.43111804127693176,
|
80 |
+
"eval_runtime": 8.5652,
|
81 |
+
"eval_samples_per_second": 154.579,
|
82 |
+
"eval_steps_per_second": 9.69,
|
83 |
+
"step": 500
|
84 |
+
},
|
85 |
+
{
|
86 |
+
"epoch": 1.61,
|
87 |
+
"learning_rate": 5.950953678474114e-06,
|
88 |
+
"loss": 0.3922,
|
89 |
+
"step": 600
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 1.61,
|
93 |
+
"eval_accuracy": 0.7998489141464233,
|
94 |
+
"eval_loss": 0.4587886333465576,
|
95 |
+
"eval_runtime": 8.2972,
|
96 |
+
"eval_samples_per_second": 159.573,
|
97 |
+
"eval_steps_per_second": 10.003,
|
98 |
+
"step": 600
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 1.88,
|
102 |
+
"learning_rate": 5.760217983651226e-06,
|
103 |
+
"loss": 0.3776,
|
104 |
+
"step": 700
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 1.88,
|
108 |
+
"eval_accuracy": 0.8066465258598328,
|
109 |
+
"eval_loss": 0.43665462732315063,
|
110 |
+
"eval_runtime": 8.2982,
|
111 |
+
"eval_samples_per_second": 159.553,
|
112 |
+
"eval_steps_per_second": 10.002,
|
113 |
+
"step": 700
|
114 |
+
},
|
115 |
+
{
|
116 |
+
"epoch": 2.15,
|
117 |
+
"learning_rate": 5.569482288828338e-06,
|
118 |
+
"loss": 0.3535,
|
119 |
+
"step": 800
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 2.15,
|
123 |
+
"eval_accuracy": 0.8074018359184265,
|
124 |
+
"eval_loss": 0.4674627184867859,
|
125 |
+
"eval_runtime": 8.7016,
|
126 |
+
"eval_samples_per_second": 152.155,
|
127 |
+
"eval_steps_per_second": 9.538,
|
128 |
+
"step": 800
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 2.42,
|
132 |
+
"learning_rate": 5.37874659400545e-06,
|
133 |
+
"loss": 0.33,
|
134 |
+
"step": 900
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 2.42,
|
138 |
+
"eval_accuracy": 0.8021147847175598,
|
139 |
+
"eval_loss": 0.48743265867233276,
|
140 |
+
"eval_runtime": 8.4057,
|
141 |
+
"eval_samples_per_second": 157.512,
|
142 |
+
"eval_steps_per_second": 9.874,
|
143 |
+
"step": 900
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 2.69,
|
147 |
+
"learning_rate": 5.188010899182561e-06,
|
148 |
+
"loss": 0.3113,
|
149 |
+
"step": 1000
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 2.69,
|
153 |
+
"eval_accuracy": 0.8043806552886963,
|
154 |
+
"eval_loss": 0.49486756324768066,
|
155 |
+
"eval_runtime": 8.2742,
|
156 |
+
"eval_samples_per_second": 160.015,
|
157 |
+
"eval_steps_per_second": 10.031,
|
158 |
+
"step": 1000
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 2.96,
|
162 |
+
"learning_rate": 4.997275204359673e-06,
|
163 |
+
"loss": 0.3203,
|
164 |
+
"step": 1100
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 2.96,
|
168 |
+
"eval_accuracy": 0.805891215801239,
|
169 |
+
"eval_loss": 0.45497822761535645,
|
170 |
+
"eval_runtime": 8.7885,
|
171 |
+
"eval_samples_per_second": 150.651,
|
172 |
+
"eval_steps_per_second": 9.444,
|
173 |
+
"step": 1100
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 3.23,
|
177 |
+
"learning_rate": 4.806539509536785e-06,
|
178 |
+
"loss": 0.248,
|
179 |
+
"step": 1200
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 3.23,
|
183 |
+
"eval_accuracy": 0.8036254048347473,
|
184 |
+
"eval_loss": 0.4857841432094574,
|
185 |
+
"eval_runtime": 8.5367,
|
186 |
+
"eval_samples_per_second": 155.095,
|
187 |
+
"eval_steps_per_second": 9.723,
|
188 |
+
"step": 1200
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 3.49,
|
192 |
+
"learning_rate": 4.615803814713896e-06,
|
193 |
+
"loss": 0.2478,
|
194 |
+
"step": 1300
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 3.49,
|
198 |
+
"eval_accuracy": 0.8028700947761536,
|
199 |
+
"eval_loss": 0.5299096703529358,
|
200 |
+
"eval_runtime": 8.4072,
|
201 |
+
"eval_samples_per_second": 157.485,
|
202 |
+
"eval_steps_per_second": 9.873,
|
203 |
+
"step": 1300
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 3.76,
|
207 |
+
"learning_rate": 4.425068119891008e-06,
|
208 |
+
"loss": 0.2371,
|
209 |
+
"step": 1400
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 3.76,
|
213 |
+
"eval_accuracy": 0.7990936636924744,
|
214 |
+
"eval_loss": 0.5012686252593994,
|
215 |
+
"eval_runtime": 8.2774,
|
216 |
+
"eval_samples_per_second": 159.953,
|
217 |
+
"eval_steps_per_second": 10.027,
|
218 |
+
"step": 1400
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 4.03,
|
222 |
+
"learning_rate": 4.2343324250681206e-06,
|
223 |
+
"loss": 0.2388,
|
224 |
+
"step": 1500
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 4.03,
|
228 |
+
"eval_accuracy": 0.8021147847175598,
|
229 |
+
"eval_loss": 0.5519642233848572,
|
230 |
+
"eval_runtime": 8.5777,
|
231 |
+
"eval_samples_per_second": 154.355,
|
232 |
+
"eval_steps_per_second": 9.676,
|
233 |
+
"step": 1500
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 4.3,
|
237 |
+
"learning_rate": 4.043596730245232e-06,
|
238 |
+
"loss": 0.1744,
|
239 |
+
"step": 1600
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 4.3,
|
243 |
+
"eval_accuracy": 0.791540801525116,
|
244 |
+
"eval_loss": 0.6686806082725525,
|
245 |
+
"eval_runtime": 8.5418,
|
246 |
+
"eval_samples_per_second": 155.002,
|
247 |
+
"eval_steps_per_second": 9.717,
|
248 |
+
"step": 1600
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 4.57,
|
252 |
+
"learning_rate": 3.8528610354223435e-06,
|
253 |
+
"loss": 0.1788,
|
254 |
+
"step": 1700
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 4.57,
|
258 |
+
"eval_accuracy": 0.768882155418396,
|
259 |
+
"eval_loss": 0.756027340888977,
|
260 |
+
"eval_runtime": 8.5142,
|
261 |
+
"eval_samples_per_second": 155.506,
|
262 |
+
"eval_steps_per_second": 9.748,
|
263 |
+
"step": 1700
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 4.84,
|
267 |
+
"learning_rate": 3.6621253405994546e-06,
|
268 |
+
"loss": 0.1652,
|
269 |
+
"step": 1800
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 4.84,
|
273 |
+
"eval_accuracy": 0.7832326292991638,
|
274 |
+
"eval_loss": 0.6984805464744568,
|
275 |
+
"eval_runtime": 8.5496,
|
276 |
+
"eval_samples_per_second": 154.861,
|
277 |
+
"eval_steps_per_second": 9.708,
|
278 |
+
"step": 1800
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 5.11,
|
282 |
+
"learning_rate": 3.4713896457765665e-06,
|
283 |
+
"loss": 0.1596,
|
284 |
+
"step": 1900
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 5.11,
|
288 |
+
"eval_accuracy": 0.791540801525116,
|
289 |
+
"eval_loss": 0.7190905213356018,
|
290 |
+
"eval_runtime": 8.5367,
|
291 |
+
"eval_samples_per_second": 155.094,
|
292 |
+
"eval_steps_per_second": 9.723,
|
293 |
+
"step": 1900
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 5.38,
|
297 |
+
"learning_rate": 3.2806539509536784e-06,
|
298 |
+
"loss": 0.1214,
|
299 |
+
"step": 2000
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 5.38,
|
303 |
+
"eval_accuracy": 0.7892749309539795,
|
304 |
+
"eval_loss": 0.909650981426239,
|
305 |
+
"eval_runtime": 8.5312,
|
306 |
+
"eval_samples_per_second": 155.195,
|
307 |
+
"eval_steps_per_second": 9.729,
|
308 |
+
"step": 2000
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 5.64,
|
312 |
+
"learning_rate": 3.0899182561307904e-06,
|
313 |
+
"loss": 0.1432,
|
314 |
+
"step": 2100
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 5.64,
|
318 |
+
"eval_accuracy": 0.7787008881568909,
|
319 |
+
"eval_loss": 0.9183990359306335,
|
320 |
+
"eval_runtime": 8.556,
|
321 |
+
"eval_samples_per_second": 154.745,
|
322 |
+
"eval_steps_per_second": 9.701,
|
323 |
+
"step": 2100
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 5.91,
|
327 |
+
"learning_rate": 2.899182561307902e-06,
|
328 |
+
"loss": 0.1145,
|
329 |
+
"step": 2200
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 5.91,
|
333 |
+
"eval_accuracy": 0.7877643704414368,
|
334 |
+
"eval_loss": 0.962020993232727,
|
335 |
+
"eval_runtime": 8.5378,
|
336 |
+
"eval_samples_per_second": 155.075,
|
337 |
+
"eval_steps_per_second": 9.721,
|
338 |
+
"step": 2200
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 6.18,
|
342 |
+
"learning_rate": 2.7084468664850138e-06,
|
343 |
+
"loss": 0.1069,
|
344 |
+
"step": 2300
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 6.18,
|
348 |
+
"eval_accuracy": 0.7892749309539795,
|
349 |
+
"eval_loss": 0.9488775134086609,
|
350 |
+
"eval_runtime": 8.3193,
|
351 |
+
"eval_samples_per_second": 159.148,
|
352 |
+
"eval_steps_per_second": 9.977,
|
353 |
+
"step": 2300
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 6.45,
|
357 |
+
"learning_rate": 2.5177111716621253e-06,
|
358 |
+
"loss": 0.1012,
|
359 |
+
"step": 2400
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 6.45,
|
363 |
+
"eval_accuracy": 0.7817220687866211,
|
364 |
+
"eval_loss": 1.0107486248016357,
|
365 |
+
"eval_runtime": 8.2713,
|
366 |
+
"eval_samples_per_second": 160.071,
|
367 |
+
"eval_steps_per_second": 10.035,
|
368 |
+
"step": 2400
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 6.72,
|
372 |
+
"learning_rate": 2.326975476839237e-06,
|
373 |
+
"loss": 0.0942,
|
374 |
+
"step": 2500
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 6.72,
|
378 |
+
"eval_accuracy": 0.7885196208953857,
|
379 |
+
"eval_loss": 1.002103567123413,
|
380 |
+
"eval_runtime": 8.5971,
|
381 |
+
"eval_samples_per_second": 154.005,
|
382 |
+
"eval_steps_per_second": 9.654,
|
383 |
+
"step": 2500
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 6.99,
|
387 |
+
"learning_rate": 2.1362397820163487e-06,
|
388 |
+
"loss": 0.087,
|
389 |
+
"step": 2600
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 6.99,
|
393 |
+
"eval_accuracy": 0.791540801525116,
|
394 |
+
"eval_loss": 1.1089540719985962,
|
395 |
+
"eval_runtime": 8.5285,
|
396 |
+
"eval_samples_per_second": 155.244,
|
397 |
+
"eval_steps_per_second": 9.732,
|
398 |
+
"step": 2600
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 7.26,
|
402 |
+
"learning_rate": 1.9455040871934606e-06,
|
403 |
+
"loss": 0.0598,
|
404 |
+
"step": 2700
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 7.26,
|
408 |
+
"eval_accuracy": 0.7794561982154846,
|
409 |
+
"eval_loss": 1.1735244989395142,
|
410 |
+
"eval_runtime": 8.6408,
|
411 |
+
"eval_samples_per_second": 153.227,
|
412 |
+
"eval_steps_per_second": 9.606,
|
413 |
+
"step": 2700
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 7.53,
|
417 |
+
"learning_rate": 1.754768392370572e-06,
|
418 |
+
"loss": 0.0742,
|
419 |
+
"step": 2800
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 7.53,
|
423 |
+
"eval_accuracy": 0.7817220687866211,
|
424 |
+
"eval_loss": 1.1433196067810059,
|
425 |
+
"eval_runtime": 8.3802,
|
426 |
+
"eval_samples_per_second": 157.992,
|
427 |
+
"eval_steps_per_second": 9.904,
|
428 |
+
"step": 2800
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 7.79,
|
432 |
+
"learning_rate": 1.5640326975476838e-06,
|
433 |
+
"loss": 0.073,
|
434 |
+
"step": 2900
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 7.79,
|
438 |
+
"eval_accuracy": 0.7953172326087952,
|
439 |
+
"eval_loss": 1.1342711448669434,
|
440 |
+
"eval_runtime": 8.549,
|
441 |
+
"eval_samples_per_second": 154.873,
|
442 |
+
"eval_steps_per_second": 9.709,
|
443 |
+
"step": 2900
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 8.06,
|
447 |
+
"learning_rate": 1.3732970027247957e-06,
|
448 |
+
"loss": 0.0553,
|
449 |
+
"step": 3000
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 8.06,
|
453 |
+
"eval_accuracy": 0.7839879393577576,
|
454 |
+
"eval_loss": 1.2258013486862183,
|
455 |
+
"eval_runtime": 8.4899,
|
456 |
+
"eval_samples_per_second": 155.95,
|
457 |
+
"eval_steps_per_second": 9.776,
|
458 |
+
"step": 3000
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 8.33,
|
462 |
+
"learning_rate": 1.1825613079019074e-06,
|
463 |
+
"loss": 0.0474,
|
464 |
+
"step": 3100
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 8.33,
|
468 |
+
"eval_accuracy": 0.7817220687866211,
|
469 |
+
"eval_loss": 1.2460782527923584,
|
470 |
+
"eval_runtime": 8.5462,
|
471 |
+
"eval_samples_per_second": 154.923,
|
472 |
+
"eval_steps_per_second": 9.712,
|
473 |
+
"step": 3100
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 8.6,
|
477 |
+
"learning_rate": 9.91825613079019e-07,
|
478 |
+
"loss": 0.0515,
|
479 |
+
"step": 3200
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 8.6,
|
483 |
+
"eval_accuracy": 0.7824773192405701,
|
484 |
+
"eval_loss": 1.2996242046356201,
|
485 |
+
"eval_runtime": 8.5173,
|
486 |
+
"eval_samples_per_second": 155.448,
|
487 |
+
"eval_steps_per_second": 9.745,
|
488 |
+
"step": 3200
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 8.87,
|
492 |
+
"learning_rate": 8.010899182561308e-07,
|
493 |
+
"loss": 0.0551,
|
494 |
+
"step": 3300
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 8.87,
|
498 |
+
"eval_accuracy": 0.7854984998703003,
|
499 |
+
"eval_loss": 1.281937837600708,
|
500 |
+
"eval_runtime": 8.2769,
|
501 |
+
"eval_samples_per_second": 159.964,
|
502 |
+
"eval_steps_per_second": 10.028,
|
503 |
+
"step": 3300
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 9.14,
|
507 |
+
"learning_rate": 6.103542234332425e-07,
|
508 |
+
"loss": 0.0541,
|
509 |
+
"step": 3400
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 9.14,
|
513 |
+
"eval_accuracy": 0.7854984998703003,
|
514 |
+
"eval_loss": 1.2807722091674805,
|
515 |
+
"eval_runtime": 8.5739,
|
516 |
+
"eval_samples_per_second": 154.423,
|
517 |
+
"eval_steps_per_second": 9.681,
|
518 |
+
"step": 3400
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 9.41,
|
522 |
+
"learning_rate": 4.196185286103542e-07,
|
523 |
+
"loss": 0.0465,
|
524 |
+
"step": 3500
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 9.41,
|
528 |
+
"eval_accuracy": 0.7817220687866211,
|
529 |
+
"eval_loss": 1.3397763967514038,
|
530 |
+
"eval_runtime": 8.503,
|
531 |
+
"eval_samples_per_second": 155.71,
|
532 |
+
"eval_steps_per_second": 9.761,
|
533 |
+
"step": 3500
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 9.68,
|
537 |
+
"learning_rate": 2.288828337874659e-07,
|
538 |
+
"loss": 0.0407,
|
539 |
+
"step": 3600
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 9.68,
|
543 |
+
"eval_accuracy": 0.7824773192405701,
|
544 |
+
"eval_loss": 1.3231298923492432,
|
545 |
+
"eval_runtime": 8.2453,
|
546 |
+
"eval_samples_per_second": 160.577,
|
547 |
+
"eval_steps_per_second": 10.066,
|
548 |
+
"step": 3600
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 9.94,
|
552 |
+
"learning_rate": 3.8147138964577657e-08,
|
553 |
+
"loss": 0.0343,
|
554 |
+
"step": 3700
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 9.94,
|
558 |
+
"eval_accuracy": 0.7824773192405701,
|
559 |
+
"eval_loss": 1.3330293893814087,
|
560 |
+
"eval_runtime": 8.5211,
|
561 |
+
"eval_samples_per_second": 155.378,
|
562 |
+
"eval_steps_per_second": 9.74,
|
563 |
+
"step": 3700
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 10.0,
|
567 |
+
"step": 3720,
|
568 |
+
"total_flos": 5.551925384610202e+16,
|
569 |
+
"train_loss": 0.20273424893297176,
|
570 |
+
"train_runtime": 2723.3449,
|
571 |
+
"train_samples_per_second": 43.755,
|
572 |
+
"train_steps_per_second": 1.366
|
573 |
+
}
|
574 |
+
],
|
575 |
+
"max_steps": 3720,
|
576 |
+
"num_train_epochs": 10,
|
577 |
+
"total_flos": 5.551925384610202e+16,
|
578 |
+
"trial_name": null,
|
579 |
+
"trial_params": null
|
580 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5cc77104332f69dc549c57f14823a63d375c1c4d1f379593a8844dd532412c90
|
3 |
+
size 3375
|