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ASAP_FineTuningBERT_AugV5_k2_task1_organization_fold3

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Training in progress, step 100

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  1. README.md +110 -0
  2. config.json +33 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -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: bert-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: ASAP_FineTuningBERT_AugV5_k2_task1_organization_fold2
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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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+ # ASAP_FineTuningBERT_AugV5_k2_task1_organization_fold2
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+
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5821
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+ - Qwk: 0.5834
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+ - Mse: 0.5823
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+ - Rmse: 0.7631
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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: 64
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+ - eval_batch_size: 64
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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: 100
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:------:|
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+ | No log | 2.0 | 2 | 10.1102 | 0.0 | 10.1098 | 3.1796 |
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+ | No log | 4.0 | 4 | 8.5153 | 0.0 | 8.5150 | 2.9181 |
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+ | No log | 6.0 | 6 | 6.9130 | 0.0 | 6.9126 | 2.6292 |
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+ | No log | 8.0 | 8 | 5.4748 | 0.0330 | 5.4746 | 2.3398 |
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+ | 9.0382 | 10.0 | 10 | 4.4633 | 0.0039 | 4.4632 | 2.1126 |
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+ | 9.0382 | 12.0 | 12 | 3.6149 | 0.0 | 3.6149 | 1.9013 |
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+ | 9.0382 | 14.0 | 14 | 2.9219 | 0.0 | 2.9219 | 1.7093 |
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+ | 9.0382 | 16.0 | 16 | 2.3959 | 0.0965 | 2.3959 | 1.5479 |
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+ | 9.0382 | 18.0 | 18 | 1.9642 | 0.0539 | 1.9643 | 1.4015 |
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+ | 4.332 | 20.0 | 20 | 1.6434 | 0.0334 | 1.6435 | 1.2820 |
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+ | 4.332 | 22.0 | 22 | 1.4010 | 0.0334 | 1.4011 | 1.1837 |
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+ | 4.332 | 24.0 | 24 | 1.1567 | 0.0307 | 1.1570 | 1.0756 |
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+ | 4.332 | 26.0 | 26 | 1.0073 | 0.0437 | 1.0075 | 1.0038 |
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+ | 4.332 | 28.0 | 28 | 0.8614 | 0.2354 | 0.8616 | 0.9282 |
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+ | 2.2501 | 30.0 | 30 | 0.7297 | 0.4421 | 0.7300 | 0.8544 |
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+ | 2.2501 | 32.0 | 32 | 0.6508 | 0.4824 | 0.6513 | 0.8070 |
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+ | 2.2501 | 34.0 | 34 | 0.6363 | 0.4827 | 0.6366 | 0.7979 |
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+ | 2.2501 | 36.0 | 36 | 0.5677 | 0.4278 | 0.5682 | 0.7538 |
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+ | 2.2501 | 38.0 | 38 | 0.5781 | 0.4109 | 0.5787 | 0.7607 |
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+ | 1.1902 | 40.0 | 40 | 0.5452 | 0.4652 | 0.5456 | 0.7386 |
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+ | 1.1902 | 42.0 | 42 | 0.5406 | 0.4471 | 0.5411 | 0.7356 |
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+ | 1.1902 | 44.0 | 44 | 0.5490 | 0.4776 | 0.5495 | 0.7413 |
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+ | 1.1902 | 46.0 | 46 | 0.5443 | 0.5829 | 0.5448 | 0.7381 |
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+ | 1.1902 | 48.0 | 48 | 0.5611 | 0.6050 | 0.5616 | 0.7494 |
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+ | 0.6288 | 50.0 | 50 | 0.5506 | 0.5916 | 0.5510 | 0.7423 |
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+ | 0.6288 | 52.0 | 52 | 0.5505 | 0.5904 | 0.5509 | 0.7422 |
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+ | 0.6288 | 54.0 | 54 | 0.6214 | 0.5851 | 0.6219 | 0.7886 |
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+ | 0.6288 | 56.0 | 56 | 0.5689 | 0.5814 | 0.5693 | 0.7545 |
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+ | 0.6288 | 58.0 | 58 | 0.5470 | 0.5856 | 0.5473 | 0.7398 |
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+ | 0.3387 | 60.0 | 60 | 0.6808 | 0.5546 | 0.6811 | 0.8253 |
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+ | 0.3387 | 62.0 | 62 | 0.6377 | 0.5669 | 0.6380 | 0.7988 |
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+ | 0.3387 | 64.0 | 64 | 0.5568 | 0.5775 | 0.5570 | 0.7463 |
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+ | 0.3387 | 66.0 | 66 | 0.5775 | 0.5689 | 0.5777 | 0.7601 |
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+ | 0.3387 | 68.0 | 68 | 0.6875 | 0.5494 | 0.6877 | 0.8293 |
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+ | 0.1982 | 70.0 | 70 | 0.6655 | 0.5540 | 0.6657 | 0.8159 |
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+ | 0.1982 | 72.0 | 72 | 0.5663 | 0.5536 | 0.5665 | 0.7527 |
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+ | 0.1982 | 74.0 | 74 | 0.5523 | 0.5651 | 0.5524 | 0.7432 |
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+ | 0.1982 | 76.0 | 76 | 0.6181 | 0.5537 | 0.6182 | 0.7863 |
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+ | 0.1982 | 78.0 | 78 | 0.7374 | 0.5493 | 0.7376 | 0.8588 |
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+ | 0.1267 | 80.0 | 80 | 0.6437 | 0.5732 | 0.6439 | 0.8024 |
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+ | 0.1267 | 82.0 | 82 | 0.5785 | 0.5661 | 0.5787 | 0.7607 |
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+ | 0.1267 | 84.0 | 84 | 0.5934 | 0.5702 | 0.5935 | 0.7704 |
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+ | 0.1267 | 86.0 | 86 | 0.6109 | 0.5710 | 0.6111 | 0.7817 |
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+ | 0.1267 | 88.0 | 88 | 0.6239 | 0.5727 | 0.6241 | 0.7900 |
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+ | 0.0849 | 90.0 | 90 | 0.5956 | 0.5785 | 0.5958 | 0.7719 |
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+ | 0.0849 | 92.0 | 92 | 0.5650 | 0.5675 | 0.5652 | 0.7518 |
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+ | 0.0849 | 94.0 | 94 | 0.5627 | 0.5764 | 0.5628 | 0.7502 |
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+ | 0.0849 | 96.0 | 96 | 0.5699 | 0.5769 | 0.5701 | 0.7550 |
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+ | 0.0849 | 98.0 | 98 | 0.5772 | 0.5813 | 0.5773 | 0.7598 |
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+ | 0.0726 | 100.0 | 100 | 0.5821 | 0.5834 | 0.5823 | 0.7631 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.2.0
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+ - Tokenizers 0.19.1
config.json ADDED
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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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+ "id2label": {
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+ "0": "LABEL_0"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "LABEL_0": 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": "regression",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.44.2",
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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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