chrislee973
commited on
Commit
·
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Parent(s):
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test-trainer
Browse files- README.md +64 -0
- config.json +27 -0
- model.safetensors +3 -0
- runs/Dec31_06-08-28_e381f115a711/events.out.tfevents.1704003087.e381f115a711.4704.0 +3 -0
- runs/Dec31_06-36-44_e381f115a711/events.out.tfevents.1704005079.e381f115a711.4704.1 +3 -0
- runs/Dec31_06-50-48_e381f115a711/events.out.tfevents.1704005476.e381f115a711.4704.2 +3 -0
- runs/Dec31_06-56-41_e381f115a711/events.out.tfevents.1704005806.e381f115a711.4704.3 +3 -0
- runs/Dec31_07-36-05_e381f115a711/events.out.tfevents.1704008166.e381f115a711.4704.6 +3 -0
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +59 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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license: apache-2.0
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base_model: 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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- f1
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model-index:
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- name: test-trainer
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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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# test-trainer
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/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: 0.6281
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- Accuracy: 0.8652
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- F1: 0.9043
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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: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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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 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.0 | 459 | 0.3976 | 0.8260 | 0.8823 |
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| 0.5052 | 2.0 | 918 | 0.4662 | 0.8652 | 0.9050 |
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| 0.2679 | 3.0 | 1377 | 0.6281 | 0.8652 | 0.9043 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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config.json
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{
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"_name_or_path": "bert-base-uncased",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.36.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bee808c3529b736d4f02da985bf4ba64d0a45f5e790e56f3e53c03c11895d3c1
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size 437958648
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runs/Dec31_06-08-28_e381f115a711/events.out.tfevents.1704003087.e381f115a711.4704.0
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runs/Dec31_06-36-44_e381f115a711/events.out.tfevents.1704005079.e381f115a711.4704.1
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version https://git-lfs.github.com/spec/v1
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runs/Dec31_06-50-48_e381f115a711/events.out.tfevents.1704005476.e381f115a711.4704.2
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version https://git-lfs.github.com/spec/v1
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runs/Dec31_06-56-41_e381f115a711/events.out.tfevents.1704005806.e381f115a711.4704.3
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version https://git-lfs.github.com/spec/v1
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runs/Dec31_07-36-05_e381f115a711/events.out.tfevents.1704008166.e381f115a711.4704.6
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version https://git-lfs.github.com/spec/v1
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size 6107
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special_tokens_map.json
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{
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"cls_token": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"mask_token": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"sep_token": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"100": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"101": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"102": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"103": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"max_length": 512,
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"model_max_length": 512,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"stride": 0,
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"truncation_side": "right",
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"truncation_strategy": "longest_first",
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"unk_token": "[UNK]"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b36437a72706adf535446cf86b8532471f48a296fcee607e19b1e7e53df5e13a
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size 4664
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vocab.txt
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