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distilbert-base-uncased

Token Classification
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distilbert
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  1. README.md +107 -0
  2. config.json +32 -0
  3. model.safetensors +3 -0
  4. runs/Jul01_09-46-00_d901a32c046c/events.out.tfevents.1719827164.d901a32c046c.1186.0 +3 -0
  5. special_tokens_map.json +7 -0
  6. tokenizer.json +0 -0
  7. tokenizer_config.json +55 -0
  8. training_args.bin +3 -0
  9. vocab.txt +0 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: distilbert/distilbert-base-uncased
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: distilbert-base-uncased
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+ results: []
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+ ---
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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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+
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+ # distilbert-base-uncased
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+
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+ This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0002
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 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: 15
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-------:|:-----:|:---------------:|
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+ | 0.0273 | 0.2907 | 500 | 0.0062 |
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+ | 0.0049 | 0.5814 | 1000 | 0.0024 |
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+ | 0.0033 | 0.8721 | 1500 | 0.0020 |
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+ | 0.0014 | 1.1628 | 2000 | 0.0009 |
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+ | 0.001 | 1.4535 | 2500 | 0.0007 |
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+ | 0.0008 | 1.7442 | 3000 | 0.0009 |
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+ | 0.0011 | 2.0349 | 3500 | 0.0011 |
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+ | 0.0003 | 2.3256 | 4000 | 0.0012 |
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+ | 0.0008 | 2.6163 | 4500 | 0.0008 |
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+ | 0.0006 | 2.9070 | 5000 | 0.0010 |
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+ | 0.0006 | 3.1977 | 5500 | 0.0009 |
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+ | 0.0002 | 3.4884 | 6000 | 0.0008 |
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+ | 0.0005 | 3.7791 | 6500 | 0.0005 |
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+ | 0.0003 | 4.0698 | 7000 | 0.0005 |
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+ | 0.0002 | 4.3605 | 7500 | 0.0003 |
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+ | 0.0004 | 4.6512 | 8000 | 0.0015 |
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+ | 0.0004 | 4.9419 | 8500 | 0.0008 |
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+ | 0.0002 | 5.2326 | 9000 | 0.0002 |
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+ | 0.0003 | 5.5233 | 9500 | 0.0003 |
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+ | 0.0002 | 5.8140 | 10000 | 0.0002 |
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+ | 0.0002 | 6.1047 | 10500 | 0.0003 |
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+ | 0.0001 | 6.3953 | 11000 | 0.0002 |
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+ | 0.0001 | 6.6860 | 11500 | 0.0002 |
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+ | 0.0001 | 6.9767 | 12000 | 0.0003 |
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+ | 0.0 | 7.2674 | 12500 | 0.0002 |
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+ | 0.0 | 7.5581 | 13000 | 0.0009 |
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+ | 0.0001 | 7.8488 | 13500 | 0.0005 |
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+ | 0.0002 | 8.1395 | 14000 | 0.0007 |
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+ | 0.0001 | 8.4302 | 14500 | 0.0007 |
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+ | 0.0001 | 8.7209 | 15000 | 0.0006 |
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+ | 0.0001 | 9.0116 | 15500 | 0.0005 |
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+ | 0.0 | 9.3023 | 16000 | 0.0007 |
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+ | 0.0001 | 9.5930 | 16500 | 0.0005 |
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+ | 0.0003 | 9.8837 | 17000 | 0.0004 |
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+ | 0.0 | 10.1744 | 17500 | 0.0004 |
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+ | 0.0002 | 10.4651 | 18000 | 0.0003 |
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+ | 0.0 | 10.7558 | 18500 | 0.0003 |
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+ | 0.0 | 11.0465 | 19000 | 0.0004 |
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+ | 0.0 | 11.3372 | 19500 | 0.0004 |
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+ | 0.0 | 11.6279 | 20000 | 0.0002 |
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+ | 0.0 | 11.9186 | 20500 | 0.0002 |
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+ | 0.0 | 12.2093 | 21000 | 0.0003 |
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+ | 0.0 | 12.5 | 21500 | 0.0003 |
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+ | 0.0 | 12.7907 | 22000 | 0.0004 |
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+ | 0.0 | 13.0814 | 22500 | 0.0002 |
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+ | 0.0001 | 13.3721 | 23000 | 0.0002 |
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+ | 0.0001 | 13.6628 | 23500 | 0.0002 |
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+ | 0.0 | 13.9535 | 24000 | 0.0002 |
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+ | 0.0 | 14.2442 | 24500 | 0.0002 |
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+ | 0.0 | 14.5349 | 25000 | 0.0002 |
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+ | 0.0 | 14.8256 | 25500 | 0.0002 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
config.json ADDED
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+ {
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+ "DistilBertForTokenClassification"
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+ ],
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+ "attention_dropout": 0.1,
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+ "dropout": 0.1,
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+ "hidden_dim": 3072,
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+ "id2label": {
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+ "max_position_embeddings": 512,
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+ "model_type": "distilbert",
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+ "n_heads": 12,
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+ "n_layers": 6,
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+ "pad_token_id": 0,
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+ "qa_dropout": 0.1,
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+ "seq_classif_dropout": 0.2,
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+ "sinusoidal_pos_embds": false,
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+ "tie_weights_": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.41.2",
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+ "vocab_size": 30522
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+ }
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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vocab.txt ADDED
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