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- google_bert/bert_base_uncased_amazon/README.md +76 -0
- google_bert/bert_base_uncased_amazon/all_results.json +23 -0
- google_bert/bert_base_uncased_amazon/checkpoint-550/config.json +78 -0
- google_bert/bert_base_uncased_amazon/checkpoint-550/model.safetensors +3 -0
- google_bert/bert_base_uncased_amazon/checkpoint-550/optimizer.pt +3 -0
- google_bert/bert_base_uncased_amazon/checkpoint-550/rng_state_0.pth +3 -0
- google_bert/bert_base_uncased_amazon/checkpoint-550/rng_state_1.pth +3 -0
- google_bert/bert_base_uncased_amazon/checkpoint-550/scheduler.pt +3 -0
- google_bert/bert_base_uncased_amazon/checkpoint-550/special_tokens_map.json +7 -0
- google_bert/bert_base_uncased_amazon/checkpoint-550/tokenizer.json +0 -0
- google_bert/bert_base_uncased_amazon/checkpoint-550/tokenizer_config.json +55 -0
- google_bert/bert_base_uncased_amazon/checkpoint-550/trainer_state.json +527 -0
- google_bert/bert_base_uncased_amazon/checkpoint-550/training_args.bin +3 -0
- google_bert/bert_base_uncased_amazon/checkpoint-550/vocab.txt +0 -0
- google_bert/bert_base_uncased_amazon/config.json +78 -0
- google_bert/bert_base_uncased_amazon/eval_results.json +11 -0
- google_bert/bert_base_uncased_amazon/model.safetensors +3 -0
- google_bert/bert_base_uncased_amazon/run.log +4 -0
- google_bert/bert_base_uncased_amazon/special_tokens_map.json +7 -0
- google_bert/bert_base_uncased_amazon/test_results.json +10 -0
- google_bert/bert_base_uncased_amazon/tokenizer.json +0 -0
- google_bert/bert_base_uncased_amazon/tokenizer_config.json +55 -0
- google_bert/bert_base_uncased_amazon/train_results.json +8 -0
- google_bert/bert_base_uncased_amazon/trainer_state.json +550 -0
- google_bert/bert_base_uncased_amazon/training_args.bin +3 -0
- google_bert/bert_base_uncased_amazon/vocab.txt +0 -0
- google_bert/bert_base_uncased_ledgar/README.md +93 -0
- google_bert/bert_base_uncased_ledgar/all_results.json +23 -0
- google_bert/bert_base_uncased_ledgar/checkpoint-2800/config.json +232 -0
- google_bert/bert_base_uncased_ledgar/checkpoint-2800/model.safetensors +3 -0
- google_bert/bert_base_uncased_ledgar/checkpoint-2800/optimizer.pt +3 -0
- google_bert/bert_base_uncased_ledgar/checkpoint-2800/rng_state_0.pth +3 -0
- google_bert/bert_base_uncased_ledgar/checkpoint-2800/rng_state_1.pth +3 -0
- google_bert/bert_base_uncased_ledgar/checkpoint-2800/scheduler.pt +3 -0
- google_bert/bert_base_uncased_ledgar/checkpoint-2800/special_tokens_map.json +7 -0
- google_bert/bert_base_uncased_ledgar/checkpoint-2800/tokenizer.json +0 -0
- google_bert/bert_base_uncased_ledgar/checkpoint-2800/tokenizer_config.json +55 -0
- google_bert/bert_base_uncased_ledgar/checkpoint-2800/trainer_state.json +1113 -0
- google_bert/bert_base_uncased_ledgar/checkpoint-2800/training_args.bin +3 -0
- google_bert/bert_base_uncased_ledgar/checkpoint-2800/vocab.txt +0 -0
- google_bert/bert_base_uncased_ledgar/config.json +232 -0
- google_bert/bert_base_uncased_ledgar/eval_results.json +11 -0
- google_bert/bert_base_uncased_ledgar/model.safetensors +3 -0
- google_bert/bert_base_uncased_ledgar/run.log +4 -0
- google_bert/bert_base_uncased_ledgar/special_tokens_map.json +7 -0
- google_bert/bert_base_uncased_ledgar/test_results.json +10 -0
- google_bert/bert_base_uncased_ledgar/tokenizer.json +0 -0
- google_bert/bert_base_uncased_ledgar/tokenizer_config.json +55 -0
- google_bert/bert_base_uncased_ledgar/train_results.json +8 -0
- google_bert/bert_base_uncased_ledgar/trainer_state.json +1122 -0
google_bert/bert_base_uncased_amazon/README.md
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| 1 |
+
---
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+
license: apache-2.0
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+
base_model: google-bert/bert-base-uncased
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: bert_base_uncased_amazon
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results: []
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+
---
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+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# bert_base_uncased_amazon
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This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7916
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- Accuracy: 0.7879
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- F1 Macro: 0.7308
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- F1 Micro: 0.7879
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 2
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- total_train_batch_size: 64
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- total_eval_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Micro |
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| 57 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:--------:|
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| 58 |
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| 2.5476 | 0.26 | 50 | 2.4071 | 0.4967 | 0.3546 | 0.4967 |
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| 59 |
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| 1.7401 | 0.53 | 100 | 1.6470 | 0.6337 | 0.4899 | 0.6337 |
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| 60 |
+
| 1.3223 | 0.79 | 150 | 1.2889 | 0.6897 | 0.5665 | 0.6897 |
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| 61 |
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| 1.1317 | 1.05 | 200 | 1.1047 | 0.7358 | 0.6577 | 0.7358 |
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| 62 |
+
| 0.9137 | 1.32 | 250 | 0.9907 | 0.7536 | 0.6820 | 0.7536 |
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| 63 |
+
| 0.9434 | 1.58 | 300 | 0.9264 | 0.7602 | 0.6896 | 0.7602 |
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| 64 |
+
| 0.86 | 1.84 | 350 | 0.8729 | 0.7780 | 0.7135 | 0.7780 |
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| 65 |
+
| 0.7567 | 2.11 | 400 | 0.8322 | 0.7859 | 0.7244 | 0.7859 |
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| 66 |
+
| 0.7028 | 2.37 | 450 | 0.8130 | 0.7892 | 0.7339 | 0.7892 |
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| 67 |
+
| 0.6842 | 2.63 | 500 | 0.8005 | 0.7892 | 0.7284 | 0.7892 |
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| 68 |
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| 0.6784 | 2.89 | 550 | 0.7916 | 0.7879 | 0.7308 | 0.7879 |
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| 70 |
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| 71 |
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### Framework versions
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+
- Transformers 4.39.0.dev0
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| 74 |
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- Pytorch 2.2.1+cu121
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| 75 |
+
- Datasets 2.18.0
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- Tokenizers 0.15.2
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google_bert/bert_base_uncased_amazon/all_results.json
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{
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| 2 |
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"epoch": 3.0,
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| 3 |
+
"eval_accuracy": 0.7878787878787878,
|
| 4 |
+
"eval_f1_macro": 0.7307727509227439,
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| 5 |
+
"eval_f1_micro": 0.7878787878787878,
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| 6 |
+
"eval_loss": 0.7915631532669067,
|
| 7 |
+
"eval_runtime": 1.4904,
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| 8 |
+
"eval_samples": 1518,
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| 9 |
+
"eval_samples_per_second": 1018.532,
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| 10 |
+
"eval_steps_per_second": 16.103,
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| 11 |
+
"test_accuracy": 0.8201581027667985,
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| 12 |
+
"test_f1_macro": 0.7636155764092812,
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| 13 |
+
"test_f1_micro": 0.8201581027667985,
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| 14 |
+
"test_loss": 0.7230327725410461,
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| 15 |
+
"test_runtime": 1.4903,
|
| 16 |
+
"test_samples_per_second": 1018.573,
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| 17 |
+
"test_steps_per_second": 16.104,
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| 18 |
+
"train_loss": 1.1961698414986595,
|
| 19 |
+
"train_runtime": 135.7278,
|
| 20 |
+
"train_samples": 12144,
|
| 21 |
+
"train_samples_per_second": 268.42,
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| 22 |
+
"train_steps_per_second": 4.2
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| 23 |
+
}
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google_bert/bert_base_uncased_amazon/checkpoint-550/config.json
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| 1 |
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{
|
| 2 |
+
"_name_or_path": "google-bert/bert-base-uncased",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"BertForSequenceClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.1,
|
| 7 |
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"classifier_dropout": null,
|
| 8 |
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"finetuning_task": "text-classification",
|
| 9 |
+
"gradient_checkpointing": false,
|
| 10 |
+
"hidden_act": "gelu",
|
| 11 |
+
"hidden_dropout_prob": 0.1,
|
| 12 |
+
"hidden_size": 768,
|
| 13 |
+
"id2label": {
|
| 14 |
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"0": "0",
|
| 15 |
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"1": "1",
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| 16 |
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"2": "10",
|
| 17 |
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"3": "11",
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| 18 |
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"4": "12",
|
| 19 |
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"5": "13",
|
| 20 |
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"6": "14",
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| 21 |
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"7": "15",
|
| 22 |
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"8": "16",
|
| 23 |
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"9": "17",
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| 24 |
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"10": "18",
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| 25 |
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"11": "19",
|
| 26 |
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"12": "2",
|
| 27 |
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"13": "20",
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| 28 |
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"14": "21",
|
| 29 |
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"15": "22",
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| 30 |
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"16": "3",
|
| 31 |
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"17": "4",
|
| 32 |
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"18": "5",
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| 33 |
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"19": "6",
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| 34 |
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"20": "7",
|
| 35 |
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"21": "8",
|
| 36 |
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"22": "9"
|
| 37 |
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},
|
| 38 |
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"initializer_range": 0.02,
|
| 39 |
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"intermediate_size": 3072,
|
| 40 |
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"label2id": {
|
| 41 |
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"0": 0,
|
| 42 |
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"1": 1,
|
| 43 |
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"10": 2,
|
| 44 |
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"11": 3,
|
| 45 |
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"12": 4,
|
| 46 |
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"13": 5,
|
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|
| 48 |
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| 49 |
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"16": 8,
|
| 50 |
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"17": 9,
|
| 51 |
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"18": 10,
|
| 52 |
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"19": 11,
|
| 53 |
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"2": 12,
|
| 54 |
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"20": 13,
|
| 55 |
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"21": 14,
|
| 56 |
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"22": 15,
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| 57 |
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"3": 16,
|
| 58 |
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"4": 17,
|
| 59 |
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"5": 18,
|
| 60 |
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"6": 19,
|
| 61 |
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"7": 20,
|
| 62 |
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"8": 21,
|
| 63 |
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"9": 22
|
| 64 |
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},
|
| 65 |
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"layer_norm_eps": 1e-12,
|
| 66 |
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"max_position_embeddings": 512,
|
| 67 |
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"model_type": "bert",
|
| 68 |
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"num_attention_heads": 12,
|
| 69 |
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"num_hidden_layers": 12,
|
| 70 |
+
"pad_token_id": 0,
|
| 71 |
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"position_embedding_type": "absolute",
|
| 72 |
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"problem_type": "single_label_classification",
|
| 73 |
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"torch_dtype": "float32",
|
| 74 |
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"transformers_version": "4.39.0.dev0",
|
| 75 |
+
"type_vocab_size": 2,
|
| 76 |
+
"use_cache": true,
|
| 77 |
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"vocab_size": 30522
|
| 78 |
+
}
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google_bert/bert_base_uncased_amazon/checkpoint-550/model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 438023244
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google_bert/bert_base_uncased_amazon/checkpoint-550/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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google_bert/bert_base_uncased_amazon/checkpoint-550/rng_state_0.pth
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version https://git-lfs.github.com/spec/v1
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google_bert/bert_base_uncased_amazon/checkpoint-550/rng_state_1.pth
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google_bert/bert_base_uncased_amazon/checkpoint-550/scheduler.pt
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google_bert/bert_base_uncased_amazon/checkpoint-550/special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
|
| 5 |
+
"sep_token": "[SEP]",
|
| 6 |
+
"unk_token": "[UNK]"
|
| 7 |
+
}
|
google_bert/bert_base_uncased_amazon/checkpoint-550/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
google_bert/bert_base_uncased_amazon/checkpoint-550/tokenizer_config.json
ADDED
|
@@ -0,0 +1,55 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "[PAD]",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"100": {
|
| 12 |
+
"content": "[UNK]",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"101": {
|
| 20 |
+
"content": "[CLS]",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"102": {
|
| 28 |
+
"content": "[SEP]",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"103": {
|
| 36 |
+
"content": "[MASK]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"clean_up_tokenization_spaces": true,
|
| 45 |
+
"cls_token": "[CLS]",
|
| 46 |
+
"do_lower_case": true,
|
| 47 |
+
"mask_token": "[MASK]",
|
| 48 |
+
"model_max_length": 512,
|
| 49 |
+
"pad_token": "[PAD]",
|
| 50 |
+
"sep_token": "[SEP]",
|
| 51 |
+
"strip_accents": null,
|
| 52 |
+
"tokenize_chinese_chars": true,
|
| 53 |
+
"tokenizer_class": "BertTokenizer",
|
| 54 |
+
"unk_token": "[UNK]"
|
| 55 |
+
}
|
google_bert/bert_base_uncased_amazon/checkpoint-550/trainer_state.json
ADDED
|
@@ -0,0 +1,527 @@
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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| 4 |
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| 5 |
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google_bert/bert_base_uncased_amazon/checkpoint-550/training_args.bin
ADDED
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google_bert/bert_base_uncased_amazon/checkpoint-550/vocab.txt
ADDED
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google_bert/bert_base_uncased_amazon/config.json
ADDED
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@@ -0,0 +1,78 @@
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google_bert/bert_base_uncased_amazon/eval_results.json
ADDED
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google_bert/bert_base_uncased_amazon/model.safetensors
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 438023244
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google_bert/bert_base_uncased_amazon/run.log
ADDED
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@@ -0,0 +1,4 @@
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03/15/2024 10:46:19 - WARNING - __main__ - Process rank: 0, device: cuda:0, n_gpu: 1, distributed training: True, 16-bits training: False
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03/15/2024 10:46:19 - WARNING - __main__ - Process rank: 1, device: cuda:1, n_gpu: 1, distributed training: True, 16-bits training: False
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03/15/2024 10:46:22 - WARNING - __main__ - The label2id key in the model config.json is not equal to the label2id key of this run. You can ignore this if you are doing finetuning.
|
| 4 |
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03/15/2024 10:46:23 - WARNING - __main__ - The label2id key in the model config.json is not equal to the label2id key of this run. You can ignore this if you are doing finetuning.
|
google_bert/bert_base_uncased_amazon/special_tokens_map.json
ADDED
|
@@ -0,0 +1,7 @@
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google_bert/bert_base_uncased_amazon/test_results.json
ADDED
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@@ -0,0 +1,10 @@
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google_bert/bert_base_uncased_amazon/tokenizer.json
ADDED
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google_bert/bert_base_uncased_amazon/tokenizer_config.json
ADDED
|
@@ -0,0 +1,55 @@
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google_bert/bert_base_uncased_amazon/train_results.json
ADDED
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@@ -0,0 +1,8 @@
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|
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google_bert/bert_base_uncased_amazon/trainer_state.json
ADDED
|
@@ -0,0 +1,550 @@
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google_bert/bert_base_uncased_ledgar/README.md
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| 1 |
+
---
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| 2 |
+
license: apache-2.0
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+
base_model: google-bert/bert-base-uncased
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+
tags:
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- generated_from_trainer
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+
metrics:
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+
- accuracy
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| 8 |
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model-index:
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+
- name: bert_base_uncased_ledgar
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+
results: []
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| 11 |
+
---
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| 12 |
+
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| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 14 |
+
should probably proofread and complete it, then remove this comment. -->
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| 15 |
+
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| 16 |
+
# bert_base_uncased_ledgar
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This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
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+
It achieves the following results on the evaluation set:
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- Loss: 0.6676
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- Accuracy: 0.8349
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- F1 Macro: 0.7127
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- F1 Micro: 0.8349
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 2
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- total_train_batch_size: 64
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- total_eval_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Micro |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:--------:|
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| 58 |
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| 3.6919 | 0.11 | 100 | 3.4439 | 0.4049 | 0.1512 | 0.4049 |
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| 59 |
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| 2.7312 | 0.21 | 200 | 2.5762 | 0.5766 | 0.3025 | 0.5766 |
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| 2.1872 | 0.32 | 300 | 2.0346 | 0.656 | 0.3994 | 0.656 |
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| 1.7869 | 0.43 | 400 | 1.6759 | 0.7075 | 0.4796 | 0.7075 |
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| 1.5593 | 0.53 | 500 | 1.4354 | 0.7454 | 0.5447 | 0.7454 |
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| 1.388 | 0.64 | 600 | 1.2759 | 0.7695 | 0.5778 | 0.7695 |
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| 1.214 | 0.75 | 700 | 1.1428 | 0.7806 | 0.5891 | 0.7806 |
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| 1.158 | 0.85 | 800 | 1.0531 | 0.784 | 0.5955 | 0.784 |
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| 1.0284 | 0.96 | 900 | 0.9726 | 0.7944 | 0.6182 | 0.7944 |
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| 67 |
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| 0.9249 | 1.07 | 1000 | 0.9276 | 0.8009 | 0.6295 | 0.8009 |
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| 0.9046 | 1.17 | 1100 | 0.8824 | 0.8058 | 0.6413 | 0.8058 |
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| 0.9312 | 1.28 | 1200 | 0.8425 | 0.8081 | 0.6450 | 0.8081 |
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| 0.8329 | 1.39 | 1300 | 0.8096 | 0.8135 | 0.6585 | 0.8135 |
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| 0.7601 | 1.49 | 1400 | 0.7946 | 0.8148 | 0.6646 | 0.8148 |
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| 0.7812 | 1.6 | 1500 | 0.7766 | 0.8192 | 0.6739 | 0.8192 |
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| 0.7944 | 1.71 | 1600 | 0.7585 | 0.8221 | 0.6800 | 0.8221 |
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| 0.7632 | 1.81 | 1700 | 0.7363 | 0.8269 | 0.6902 | 0.8269 |
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| 0.7027 | 1.92 | 1800 | 0.7229 | 0.8227 | 0.6793 | 0.8227 |
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| 0.671 | 2.03 | 1900 | 0.7145 | 0.8263 | 0.6870 | 0.8263 |
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| 0.6361 | 2.13 | 2000 | 0.7067 | 0.8277 | 0.6952 | 0.8277 |
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| 0.6615 | 2.24 | 2100 | 0.6969 | 0.8281 | 0.6974 | 0.8281 |
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| 0.6432 | 2.35 | 2200 | 0.6908 | 0.8311 | 0.7054 | 0.8311 |
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| 0.648 | 2.45 | 2300 | 0.6850 | 0.8304 | 0.7011 | 0.8304 |
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| 0.631 | 2.56 | 2400 | 0.6750 | 0.8323 | 0.7063 | 0.8323 |
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| 0.575 | 2.67 | 2500 | 0.6718 | 0.8337 | 0.7094 | 0.8337 |
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| 0.6444 | 2.77 | 2600 | 0.6701 | 0.8332 | 0.7102 | 0.8332 |
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| 0.6054 | 2.88 | 2700 | 0.6690 | 0.8346 | 0.7122 | 0.8346 |
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| 0.6123 | 2.99 | 2800 | 0.6676 | 0.8349 | 0.7127 | 0.8349 |
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### Framework versions
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- Transformers 4.39.0.dev0
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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google_bert/bert_base_uncased_ledgar/all_results.json
ADDED
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@@ -0,0 +1,23 @@
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{
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"epoch": 3.0,
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+
"eval_accuracy": 0.8349,
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+
"eval_f1_macro": 0.7127429197005123,
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| 5 |
+
"eval_f1_micro": 0.8349,
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"eval_loss": 0.6676496267318726,
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| 7 |
+
"eval_runtime": 9.4822,
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| 8 |
+
"eval_samples": 10000,
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+
"eval_samples_per_second": 1054.603,
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"eval_steps_per_second": 16.557,
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"test_accuracy": 0.8352,
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| 12 |
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"test_f1_macro": 0.6987837825891837,
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"test_f1_micro": 0.8352,
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"test_loss": 0.679053008556366,
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| 15 |
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"test_runtime": 9.4935,
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| 16 |
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"test_samples_per_second": 1053.351,
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"test_steps_per_second": 16.538,
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| 18 |
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"train_loss": 1.1454540061543999,
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| 19 |
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"train_runtime": 819.1516,
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"train_samples": 60000,
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"train_samples_per_second": 219.74,
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"train_steps_per_second": 3.435
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}
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google_bert/bert_base_uncased_ledgar/checkpoint-2800/config.json
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@@ -0,0 +1,232 @@
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| 1 |
+
{
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| 2 |
+
"_name_or_path": "google-bert/bert-base-uncased",
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| 3 |
+
"architectures": [
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| 4 |
+
"BertForSequenceClassification"
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| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.1,
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| 7 |
+
"classifier_dropout": null,
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| 8 |
+
"finetuning_task": "text-classification",
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| 9 |
+
"gradient_checkpointing": false,
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| 10 |
+
"hidden_act": "gelu",
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| 11 |
+
"hidden_dropout_prob": 0.1,
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| 12 |
+
"hidden_size": 768,
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| 13 |
+
"id2label": {
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| 14 |
+
"0": "0",
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| 15 |
+
"1": "1",
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| 16 |
+
"2": "10",
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| 17 |
+
"3": "11",
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| 18 |
+
"4": "12",
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| 19 |
+
"5": "13",
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| 20 |
+
"6": "14",
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| 21 |
+
"7": "15",
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| 22 |
+
"8": "16",
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| 23 |
+
"9": "17",
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| 24 |
+
"10": "18",
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| 25 |
+
"11": "19",
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| 26 |
+
"12": "2",
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| 27 |
+
"13": "20",
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| 28 |
+
"14": "21",
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| 29 |
+
"15": "22",
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| 30 |
+
"16": "23",
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| 31 |
+
"17": "24",
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| 32 |
+
"18": "25",
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| 33 |
+
"19": "26",
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| 34 |
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"20": "27",
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| 35 |
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"21": "28",
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| 36 |
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"22": "29",
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| 37 |
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"23": "3",
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| 38 |
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"24": "30",
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| 39 |
+
"25": "31",
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| 40 |
+
"26": "32",
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| 41 |
+
"27": "33",
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| 42 |
+
"28": "34",
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| 43 |
+
"29": "35",
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| 44 |
+
"30": "36",
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| 45 |
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"31": "37",
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| 46 |
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"32": "38",
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| 47 |
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"33": "39",
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| 48 |
+
"34": "4",
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| 49 |
+
"35": "40",
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| 50 |
+
"36": "41",
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| 51 |
+
"37": "42",
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| 52 |
+
"38": "43",
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| 53 |
+
"39": "44",
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| 54 |
+
"40": "45",
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| 55 |
+
"41": "46",
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| 56 |
+
"42": "47",
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| 57 |
+
"43": "48",
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| 58 |
+
"44": "49",
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| 59 |
+
"45": "5",
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| 60 |
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"46": "50",
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| 61 |
+
"47": "51",
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| 62 |
+
"48": "52",
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| 63 |
+
"49": "53",
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| 64 |
+
"50": "54",
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| 65 |
+
"51": "55",
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| 66 |
+
"52": "56",
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| 67 |
+
"53": "57",
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| 68 |
+
"54": "58",
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| 69 |
+
"55": "59",
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| 70 |
+
"56": "6",
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| 71 |
+
"57": "60",
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| 72 |
+
"58": "61",
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| 73 |
+
"59": "62",
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| 74 |
+
"60": "63",
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| 75 |
+
"61": "64",
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| 76 |
+
"62": "65",
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| 77 |
+
"63": "66",
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| 78 |
+
"64": "67",
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| 79 |
+
"65": "68",
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| 80 |
+
"66": "69",
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| 81 |
+
"67": "7",
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| 82 |
+
"68": "70",
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| 83 |
+
"69": "71",
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| 84 |
+
"70": "72",
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| 85 |
+
"71": "73",
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| 86 |
+
"72": "74",
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| 87 |
+
"73": "75",
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| 88 |
+
"74": "76",
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| 89 |
+
"75": "77",
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| 90 |
+
"76": "78",
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| 91 |
+
"77": "79",
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| 92 |
+
"78": "8",
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| 93 |
+
"79": "80",
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| 94 |
+
"80": "81",
|
| 95 |
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|
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|
google_bert/bert_base_uncased_ledgar/checkpoint-2800/model.safetensors
ADDED
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| 3 |
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size 438260096
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google_bert/bert_base_uncased_ledgar/checkpoint-2800/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
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size 876641274
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google_bert/bert_base_uncased_ledgar/checkpoint-2800/rng_state_0.pth
ADDED
|
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size 14512
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google_bert/bert_base_uncased_ledgar/checkpoint-2800/rng_state_1.pth
ADDED
|
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size 14512
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google_bert/bert_base_uncased_ledgar/checkpoint-2800/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 1064
|
google_bert/bert_base_uncased_ledgar/checkpoint-2800/special_tokens_map.json
ADDED
|
@@ -0,0 +1,7 @@
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| 1 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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"unk_token": "[UNK]"
|
| 7 |
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|
google_bert/bert_base_uncased_ledgar/checkpoint-2800/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
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|
|
google_bert/bert_base_uncased_ledgar/checkpoint-2800/tokenizer_config.json
ADDED
|
@@ -0,0 +1,55 @@
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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},
|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
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"103": {
|
| 36 |
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"content": "[MASK]",
|
| 37 |
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|
| 38 |
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"normalized": false,
|
| 39 |
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"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
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},
|
| 44 |
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"clean_up_tokenization_spaces": true,
|
| 45 |
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"cls_token": "[CLS]",
|
| 46 |
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|
| 47 |
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"mask_token": "[MASK]",
|
| 48 |
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|
| 49 |
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"pad_token": "[PAD]",
|
| 50 |
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|
| 51 |
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"strip_accents": null,
|
| 52 |
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|
| 53 |
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"tokenizer_class": "BertTokenizer",
|
| 54 |
+
"unk_token": "[UNK]"
|
| 55 |
+
}
|
google_bert/bert_base_uncased_ledgar/checkpoint-2800/trainer_state.json
ADDED
|
@@ -0,0 +1,1113 @@
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| 1 |
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{
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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{
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| 12 |
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| 13 |
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| 14 |
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| 17 |
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| 18 |
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| 20 |
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{
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| 27 |
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| 31 |
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{
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{
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|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "google-bert/bert-base-uncased",
|
| 3 |
+
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|
| 4 |
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"BertForSequenceClassification"
|
| 5 |
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|
| 6 |
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|
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|
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|
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|
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| 213 |
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|
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|
| 216 |
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|
| 217 |
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|
| 218 |
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},
|
| 219 |
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"layer_norm_eps": 1e-12,
|
| 220 |
+
"max_position_embeddings": 512,
|
| 221 |
+
"model_type": "bert",
|
| 222 |
+
"num_attention_heads": 12,
|
| 223 |
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"num_hidden_layers": 12,
|
| 224 |
+
"pad_token_id": 0,
|
| 225 |
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"position_embedding_type": "absolute",
|
| 226 |
+
"problem_type": "single_label_classification",
|
| 227 |
+
"torch_dtype": "float32",
|
| 228 |
+
"transformers_version": "4.39.0.dev0",
|
| 229 |
+
"type_vocab_size": 2,
|
| 230 |
+
"use_cache": true,
|
| 231 |
+
"vocab_size": 30522
|
| 232 |
+
}
|
google_bert/bert_base_uncased_ledgar/eval_results.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_accuracy": 0.8349,
|
| 4 |
+
"eval_f1_macro": 0.7127429197005123,
|
| 5 |
+
"eval_f1_micro": 0.8349,
|
| 6 |
+
"eval_loss": 0.6676496267318726,
|
| 7 |
+
"eval_runtime": 9.4822,
|
| 8 |
+
"eval_samples": 10000,
|
| 9 |
+
"eval_samples_per_second": 1054.603,
|
| 10 |
+
"eval_steps_per_second": 16.557
|
| 11 |
+
}
|
google_bert/bert_base_uncased_ledgar/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:50e077bb43f5193a7a49d2333d5b1769ffc8280226b5fad23967dabdbe653bd5
|
| 3 |
+
size 438260096
|
google_bert/bert_base_uncased_ledgar/run.log
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
03/15/2024 16:56:15 - WARNING - __main__ - Process rank: 0, device: cuda:0, n_gpu: 1, distributed training: True, 16-bits training: False
|
| 2 |
+
03/15/2024 16:56:15 - WARNING - __main__ - Process rank: 1, device: cuda:1, n_gpu: 1, distributed training: True, 16-bits training: False
|
| 3 |
+
03/15/2024 16:56:18 - WARNING - __main__ - The label2id key in the model config.json is not equal to the label2id key of this run. You can ignore this if you are doing finetuning.
|
| 4 |
+
03/15/2024 16:56:19 - WARNING - __main__ - The label2id key in the model config.json is not equal to the label2id key of this run. You can ignore this if you are doing finetuning.
|
google_bert/bert_base_uncased_ledgar/special_tokens_map.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"cls_token": "[CLS]",
|
| 3 |
+
"mask_token": "[MASK]",
|
| 4 |
+
"pad_token": "[PAD]",
|
| 5 |
+
"sep_token": "[SEP]",
|
| 6 |
+
"unk_token": "[UNK]"
|
| 7 |
+
}
|
google_bert/bert_base_uncased_ledgar/test_results.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"test_accuracy": 0.8352,
|
| 4 |
+
"test_f1_macro": 0.6987837825891837,
|
| 5 |
+
"test_f1_micro": 0.8352,
|
| 6 |
+
"test_loss": 0.679053008556366,
|
| 7 |
+
"test_runtime": 9.4935,
|
| 8 |
+
"test_samples_per_second": 1053.351,
|
| 9 |
+
"test_steps_per_second": 16.538
|
| 10 |
+
}
|
google_bert/bert_base_uncased_ledgar/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
google_bert/bert_base_uncased_ledgar/tokenizer_config.json
ADDED
|
@@ -0,0 +1,55 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "[PAD]",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"100": {
|
| 12 |
+
"content": "[UNK]",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"101": {
|
| 20 |
+
"content": "[CLS]",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"102": {
|
| 28 |
+
"content": "[SEP]",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"103": {
|
| 36 |
+
"content": "[MASK]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"clean_up_tokenization_spaces": true,
|
| 45 |
+
"cls_token": "[CLS]",
|
| 46 |
+
"do_lower_case": true,
|
| 47 |
+
"mask_token": "[MASK]",
|
| 48 |
+
"model_max_length": 512,
|
| 49 |
+
"pad_token": "[PAD]",
|
| 50 |
+
"sep_token": "[SEP]",
|
| 51 |
+
"strip_accents": null,
|
| 52 |
+
"tokenize_chinese_chars": true,
|
| 53 |
+
"tokenizer_class": "BertTokenizer",
|
| 54 |
+
"unk_token": "[UNK]"
|
| 55 |
+
}
|
google_bert/bert_base_uncased_ledgar/train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
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|
|
|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"train_loss": 1.1454540061543999,
|
| 4 |
+
"train_runtime": 819.1516,
|
| 5 |
+
"train_samples": 60000,
|
| 6 |
+
"train_samples_per_second": 219.74,
|
| 7 |
+
"train_steps_per_second": 3.435
|
| 8 |
+
}
|
google_bert/bert_base_uncased_ledgar/trainer_state.json
ADDED
|
@@ -0,0 +1,1122 @@
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