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bert-bias-classifier_teacher

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  1. README.md +111 -0
  2. config.json +34 -0
  3. model.safetensors +3 -0
  4. runs/Jun10_23-01-17_AM-F3QHW9HCXG/events.out.tfevents.1749614509.AM-F3QHW9HCXG.82781.0 +3 -0
  5. special_tokens_map.json +7 -0
  6. tokenizer.json +0 -0
  7. tokenizer_config.json +56 -0
  8. training_args.bin +3 -0
  9. vocab.txt +0 -0
README.md ADDED
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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: 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-bias-classifier_teacher
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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-bias-classifier_teacher
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+
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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: 0.0000
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+ - Accuracy: 1.0
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+ - Auc: 1.0
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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: 0.0002
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+ - train_batch_size: 10
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+ - eval_batch_size: 10
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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 | Accuracy | Auc |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|:---:|
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+ | 0.0374 | 1.0 | 1260 | 0.0003 | 1.0 | 1.0 |
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+ | 0.0074 | 2.0 | 2520 | 0.0011 | 1.0 | 1.0 |
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+ | 0.0081 | 3.0 | 3780 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0085 | 4.0 | 5040 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0057 | 5.0 | 6300 | 0.0005 | 1.0 | 1.0 |
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+ | 0.0091 | 6.0 | 7560 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0057 | 7.0 | 8820 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0062 | 8.0 | 10080 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0057 | 9.0 | 11340 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0054 | 10.0 | 12600 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0032 | 11.0 | 13860 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0066 | 12.0 | 15120 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0046 | 13.0 | 16380 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0045 | 14.0 | 17640 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0046 | 15.0 | 18900 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0019 | 16.0 | 20160 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0039 | 17.0 | 21420 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0051 | 18.0 | 22680 | 0.0005 | 1.0 | 1.0 |
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+ | 0.0044 | 19.0 | 23940 | 0.0001 | 1.0 | 1.0 |
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+ | 0.0035 | 20.0 | 25200 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0038 | 21.0 | 26460 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0035 | 22.0 | 27720 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0033 | 23.0 | 28980 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0019 | 24.0 | 30240 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0012 | 25.0 | 31500 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0044 | 26.0 | 32760 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0023 | 27.0 | 34020 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0021 | 28.0 | 35280 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0017 | 29.0 | 36540 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0018 | 30.0 | 37800 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0039 | 31.0 | 39060 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0033 | 32.0 | 40320 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0018 | 33.0 | 41580 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0019 | 34.0 | 42840 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0033 | 35.0 | 44100 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0018 | 36.0 | 45360 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0024 | 37.0 | 46620 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0017 | 38.0 | 47880 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0017 | 39.0 | 49140 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0013 | 40.0 | 50400 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0005 | 41.0 | 51660 | 0.0000 | 1.0 | 1.0 |
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+ | 0.002 | 42.0 | 52920 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0021 | 43.0 | 54180 | 0.0000 | 1.0 | 1.0 |
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+ | 0.003 | 44.0 | 55440 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0021 | 45.0 | 56700 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0006 | 46.0 | 57960 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0015 | 47.0 | 59220 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0007 | 48.0 | 60480 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0017 | 49.0 | 61740 | 0.0000 | 1.0 | 1.0 |
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+ | 0.0007 | 50.0 | 63000 | 0.0000 | 1.0 | 1.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.51.3
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+ - Pytorch 2.7.1
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+ - Datasets 3.6.0
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+ - Tokenizers 0.21.1
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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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+ "id2label": {
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+ "0": "Unbiased",
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+ "1": "Biased"
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "Biased": 1,
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+ "Unbiased": 0
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+ },
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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": "4.51.3",
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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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