stackoverflow_tag_classification/modernBERT_vs_Deberta/ModernBERT-base/honorable-shrew-498
Browse files- README.md +69 -0
- config.json +71 -0
- model.safetensors +3 -0
- special_tokens_map.json +37 -0
- tokenizer.json +0 -0
- tokenizer_config.json +945 -0
- training_args.bin +3 -0
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: answerdotai/ModernBERT-base
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tags:
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- generated_from_trainer
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model-index:
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- name: honorable-shrew-498
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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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# honorable-shrew-498
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This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1625
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- Hamming Loss: 0.055
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- Zero One Loss: 0.3725
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- Jaccard Score: 0.3189
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- Hamming Loss Optimised: 0.0541
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- Hamming Loss Threshold: 0.7220
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- Zero One Loss Optimised: 0.3712
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- Zero One Loss Threshold: 0.4879
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- Jaccard Score Optimised: 0.2997
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- Jaccard Score Threshold: 0.2962
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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: 8.935925952705373e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 2024
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.8778562665922138,0.8720892866629456) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Hamming Loss | Zero One Loss | Jaccard Score | Hamming Loss Optimised | Hamming Loss Threshold | Zero One Loss Optimised | Zero One Loss Threshold | Jaccard Score Optimised | Jaccard Score Threshold |
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|:-------------:|:-----:|:----:|:---------------:|:------------:|:-------------:|:-------------:|:----------------------:|:----------------------:|:-----------------------:|:-----------------------:|:-----------------------:|:-----------------------:|
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| No log | 1.0 | 100 | 0.1595 | 0.0571 | 0.4600 | 0.4159 | 0.0559 | 0.4890 | 0.4225 | 0.3826 | 0.3403 | 0.2310 |
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| No log | 2.0 | 200 | 0.1476 | 0.0564 | 0.3975 | 0.3373 | 0.0551 | 0.5746 | 0.3875 | 0.4361 | 0.2977 | 0.2865 |
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| No log | 3.0 | 300 | 0.1625 | 0.055 | 0.3725 | 0.3189 | 0.0541 | 0.7220 | 0.3712 | 0.4879 | 0.2997 | 0.2962 |
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### Framework versions
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- Transformers 4.48.0.dev0
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- Pytorch 2.5.1+cu124
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- Datasets 3.1.0
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- Tokenizers 0.21.0
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config.json
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{
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"_name_or_path": "answerdotai/ModernBERT-base",
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"architectures": [
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"ModernBertForSequenceClassification"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 50281,
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"classifier_activation": "gelu",
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"classifier_bias": false,
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"classifier_dropout": 0.0,
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"classifier_pooling": "mean",
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"cls_token_id": 50281,
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"decoder_bias": true,
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"deterministic_flash_attn": false,
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"embedding_dropout": 0.0,
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"eos_token_id": 50282,
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"global_attn_every_n_layers": 3,
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"global_rope_theta": 160000.0,
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"gradient_checkpointing": false,
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"hidden_activation": "gelu",
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"hidden_size": 768,
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"id2label": {
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"0": "dictionary",
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"1": "django",
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"2": "list",
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"3": "matplotlib",
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"4": "numpy",
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"5": "pandas",
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"6": "python-2.7",
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"7": "python-3.x",
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"8": "regex",
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"9": "string"
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},
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"initializer_cutoff_factor": 2.0,
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"initializer_range": 0.02,
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"intermediate_size": 1152,
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"label2id": {
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"dictionary": 0,
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"django": 1,
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"list": 2,
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"matplotlib": 3,
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"numpy": 4,
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"pandas": 5,
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"python-2.7": 6,
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"python-3.x": 7,
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"regex": 8,
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"string": 9
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},
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"layer_norm_eps": 1e-05,
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"local_attention": 128,
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"local_rope_theta": 10000.0,
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"max_position_embeddings": 8192,
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"mlp_bias": false,
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"mlp_dropout": 0.0,
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"model_type": "modernbert",
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"norm_bias": false,
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"norm_eps": 1e-05,
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"num_attention_heads": 12,
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"num_hidden_layers": 22,
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"pad_token_id": 50283,
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"position_embedding_type": "absolute",
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"problem_type": "multi_label_classification",
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"reference_compile": false,
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"sep_token_id": 50282,
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"sparse_pred_ignore_index": -100,
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"sparse_prediction": false,
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"torch_dtype": "float32",
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"transformers_version": "4.48.0.dev0",
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"vocab_size": 50368
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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 sha256:4eb2bcd2a3e10ef6288d796eea4001b7b346f21a09533826480c95627c857cdd
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size 598464400
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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": true,
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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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See raw diff
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tokenizer_config.json
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| 1 |
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{
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| 2 |
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"added_tokens_decoder": {
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| 3 |
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"0": {
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| 4 |
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| 5 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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},
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| 11 |
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"1": {
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| 12 |
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| 13 |
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|
| 14 |
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|
| 15 |
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"rstrip": false,
|
| 16 |
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|
| 17 |
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"special": true
|
| 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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"special": false
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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 |
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|
| 33 |
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| 34 |
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| 35 |
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|
| 36 |
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|
| 37 |
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| 38 |
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|
| 39 |
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| 40 |
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|
| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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|
| 47 |
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|
| 48 |
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| 49 |
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| 50 |
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| 51 |
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|
| 52 |
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| 53 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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|
| 60 |
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| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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| 67 |
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|
| 68 |
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| 69 |
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|
| 70 |
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|
| 71 |
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| 72 |
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| 73 |
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| 74 |
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| 75 |
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|
| 76 |
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| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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| 85 |
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| 86 |
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| 87 |
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| 88 |
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| 89 |
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|
| 90 |
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| 91 |
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| 92 |
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| 93 |
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| 94 |
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| 95 |
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| 96 |
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| 97 |
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|
| 98 |
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| 99 |
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|
| 100 |
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| 101 |
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| 102 |
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| 103 |
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| 104 |
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| 105 |
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|
| 106 |
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| 107 |
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|
| 108 |
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| 109 |
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|
| 110 |
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|
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training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
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|
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:efd6ec199f33e710cfcd70345b64f4e6eb462f2c37e11669153cf27716d5cd34
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| 3 |
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size 5496
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