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  1. README.md +106 -0
  2. config.json +24 -0
  3. model.safetensors +3 -0
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  26. runs/Feb14_06-05-32_c5b13452aefc/events.out.tfevents.1707892258.c5b13452aefc.383.22 +3 -0
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  34. special_tokens_map.json +7 -0
  35. tokenizer.json +0 -0
  36. tokenizer_config.json +55 -0
  37. training_args.bin +3 -0
  38. 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-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: BERT_Base_Uncase_FineTuned
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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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+ # BERT_Base_Uncase_FineTuned
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+
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/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: 0.0004
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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: 16
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+ - eval_batch_size: 16
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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: 50
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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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+ | No log | 1.0 | 1 | 0.0005 |
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+ | No log | 2.0 | 2 | 0.0005 |
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+ | No log | 3.0 | 3 | 0.0005 |
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+ | No log | 4.0 | 4 | 0.0005 |
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+ | No log | 5.0 | 5 | 0.0005 |
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+ | No log | 6.0 | 6 | 0.0005 |
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+ | No log | 7.0 | 7 | 0.0005 |
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+ | No log | 8.0 | 8 | 0.0005 |
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+ | No log | 9.0 | 9 | 0.0005 |
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+ | No log | 10.0 | 10 | 0.0005 |
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+ | No log | 11.0 | 11 | 0.0005 |
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+ | No log | 12.0 | 12 | 0.0005 |
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+ | No log | 13.0 | 13 | 0.0005 |
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+ | No log | 14.0 | 14 | 0.0005 |
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+ | No log | 15.0 | 15 | 0.0005 |
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+ | No log | 16.0 | 16 | 0.0005 |
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+ | No log | 17.0 | 17 | 0.0005 |
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+ | No log | 18.0 | 18 | 0.0005 |
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+ | No log | 19.0 | 19 | 0.0005 |
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+ | No log | 20.0 | 20 | 0.0005 |
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+ | No log | 21.0 | 21 | 0.0005 |
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+ | No log | 22.0 | 22 | 0.0005 |
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+ | No log | 23.0 | 23 | 0.0005 |
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+ | No log | 24.0 | 24 | 0.0005 |
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+ | No log | 25.0 | 25 | 0.0005 |
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+ | No log | 26.0 | 26 | 0.0005 |
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+ | No log | 27.0 | 27 | 0.0005 |
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+ | No log | 28.0 | 28 | 0.0005 |
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+ | No log | 29.0 | 29 | 0.0004 |
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+ | No log | 30.0 | 30 | 0.0004 |
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+ | No log | 31.0 | 31 | 0.0004 |
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+ | No log | 32.0 | 32 | 0.0004 |
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+ | No log | 33.0 | 33 | 0.0004 |
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+ | No log | 34.0 | 34 | 0.0004 |
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+ | No log | 35.0 | 35 | 0.0004 |
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+ | No log | 36.0 | 36 | 0.0004 |
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+ | No log | 37.0 | 37 | 0.0004 |
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+ | No log | 38.0 | 38 | 0.0004 |
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+ | No log | 39.0 | 39 | 0.0004 |
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+ | No log | 40.0 | 40 | 0.0004 |
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+ | No log | 41.0 | 41 | 0.0004 |
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+ | No log | 42.0 | 42 | 0.0004 |
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+ | No log | 43.0 | 43 | 0.0004 |
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+ | No log | 44.0 | 44 | 0.0004 |
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+ | No log | 45.0 | 45 | 0.0004 |
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+ | No log | 46.0 | 46 | 0.0004 |
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+ | No log | 47.0 | 47 | 0.0004 |
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+ | No log | 48.0 | 48 | 0.0004 |
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+ | No log | 49.0 | 49 | 0.0004 |
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+ | No log | 50.0 | 50 | 0.0004 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.17.0
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+ - Tokenizers 0.15.1
config.json ADDED
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+ {
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+ "_name_or_path": "distilbert-base-uncased",
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+ "activation": "gelu",
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+ "architectures": [
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+ "DistilBertForQuestionAnswering"
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+ ],
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+ "attention_dropout": 0.1,
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+ "dim": 768,
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+ "dropout": 0.1,
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+ "hidden_dim": 3072,
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+ "initializer_range": 0.02,
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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": "4.37.2",
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+ "vocab_size": 30522
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+ }
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