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ASAP_FineTuningBERT_AugV5_k2_task1_organization_fold1

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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_fold0
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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_fold0
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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: 0.5805
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+ - Qwk: 0.6413
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+ - Mse: 0.5805
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+ - Rmse: 0.7619
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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 | 8.9334 | 0.0 | 8.9334 | 2.9889 |
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+ | No log | 4.0 | 4 | 7.7251 | 0.0 | 7.7251 | 2.7794 |
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+ | No log | 6.0 | 6 | 6.9126 | 0.0 | 6.9126 | 2.6292 |
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+ | No log | 8.0 | 8 | 6.0855 | -0.0067 | 6.0855 | 2.4669 |
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+ | 8.7869 | 10.0 | 10 | 5.2885 | 0.0115 | 5.2885 | 2.2997 |
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+ | 8.7869 | 12.0 | 12 | 4.4876 | 0.0039 | 4.4876 | 2.1184 |
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+ | 8.7869 | 14.0 | 14 | 3.8555 | 0.0 | 3.8555 | 1.9635 |
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+ | 8.7869 | 16.0 | 16 | 3.1151 | 0.0 | 3.1151 | 1.7650 |
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+ | 8.7869 | 18.0 | 18 | 2.4646 | 0.0902 | 2.4646 | 1.5699 |
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+ | 4.8367 | 20.0 | 20 | 1.9258 | 0.0511 | 1.9258 | 1.3877 |
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+ | 4.8367 | 22.0 | 22 | 1.5573 | 0.0316 | 1.5573 | 1.2479 |
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+ | 4.8367 | 24.0 | 24 | 1.2277 | 0.0316 | 1.2277 | 1.1080 |
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+ | 4.8367 | 26.0 | 26 | 1.0600 | 0.0484 | 1.0600 | 1.0296 |
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+ | 4.8367 | 28.0 | 28 | 0.8888 | 0.0484 | 0.8888 | 0.9428 |
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+ | 2.5363 | 30.0 | 30 | 0.7514 | 0.4218 | 0.7514 | 0.8668 |
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+ | 2.5363 | 32.0 | 32 | 0.6534 | 0.4791 | 0.6534 | 0.8083 |
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+ | 2.5363 | 34.0 | 34 | 0.7060 | 0.4858 | 0.7060 | 0.8402 |
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+ | 2.5363 | 36.0 | 36 | 0.5431 | 0.5111 | 0.5431 | 0.7370 |
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+ | 2.5363 | 38.0 | 38 | 0.5125 | 0.4976 | 0.5125 | 0.7159 |
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+ | 1.2777 | 40.0 | 40 | 0.5039 | 0.5206 | 0.5039 | 0.7099 |
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+ | 1.2777 | 42.0 | 42 | 0.5139 | 0.4642 | 0.5139 | 0.7169 |
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+ | 1.2777 | 44.0 | 44 | 0.5084 | 0.5505 | 0.5084 | 0.7130 |
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+ | 1.2777 | 46.0 | 46 | 0.5008 | 0.5513 | 0.5008 | 0.7077 |
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+ | 1.2777 | 48.0 | 48 | 0.4937 | 0.6186 | 0.4937 | 0.7026 |
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+ | 0.6754 | 50.0 | 50 | 0.4821 | 0.5879 | 0.4821 | 0.6943 |
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+ | 0.6754 | 52.0 | 52 | 0.5527 | 0.5948 | 0.5527 | 0.7434 |
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+ | 0.6754 | 54.0 | 54 | 0.5330 | 0.6053 | 0.5330 | 0.7301 |
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+ | 0.6754 | 56.0 | 56 | 0.4867 | 0.6329 | 0.4867 | 0.6976 |
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+ | 0.6754 | 58.0 | 58 | 0.5515 | 0.6071 | 0.5515 | 0.7426 |
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+ | 0.3859 | 60.0 | 60 | 0.5178 | 0.6378 | 0.5178 | 0.7196 |
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+ | 0.3859 | 62.0 | 62 | 0.5138 | 0.6373 | 0.5138 | 0.7168 |
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+ | 0.3859 | 64.0 | 64 | 0.5630 | 0.6289 | 0.5630 | 0.7503 |
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+ | 0.3859 | 66.0 | 66 | 0.5752 | 0.6292 | 0.5752 | 0.7584 |
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+ | 0.3859 | 68.0 | 68 | 0.6784 | 0.5942 | 0.6784 | 0.8236 |
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+ | 0.191 | 70.0 | 70 | 0.6061 | 0.6268 | 0.6061 | 0.7785 |
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+ | 0.191 | 72.0 | 72 | 0.6469 | 0.6089 | 0.6469 | 0.8043 |
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+ | 0.191 | 74.0 | 74 | 0.5509 | 0.6231 | 0.5509 | 0.7422 |
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+ | 0.191 | 76.0 | 76 | 0.5431 | 0.6220 | 0.5431 | 0.7370 |
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+ | 0.191 | 78.0 | 78 | 0.6168 | 0.6288 | 0.6168 | 0.7853 |
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+ | 0.1171 | 80.0 | 80 | 0.5948 | 0.6323 | 0.5948 | 0.7712 |
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+ | 0.1171 | 82.0 | 82 | 0.6731 | 0.6193 | 0.6731 | 0.8204 |
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+ | 0.1171 | 84.0 | 84 | 0.6456 | 0.6204 | 0.6456 | 0.8035 |
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+ | 0.1171 | 86.0 | 86 | 0.5760 | 0.6413 | 0.5760 | 0.7590 |
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+ | 0.1171 | 88.0 | 88 | 0.5489 | 0.6397 | 0.5489 | 0.7408 |
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+ | 0.1069 | 90.0 | 90 | 0.5869 | 0.6396 | 0.5869 | 0.7661 |
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+ | 0.1069 | 92.0 | 92 | 0.6605 | 0.6047 | 0.6605 | 0.8127 |
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+ | 0.1069 | 94.0 | 94 | 0.6535 | 0.6093 | 0.6535 | 0.8084 |
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+ | 0.1069 | 96.0 | 96 | 0.6031 | 0.6271 | 0.6031 | 0.7766 |
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+ | 0.1069 | 98.0 | 98 | 0.5848 | 0.6402 | 0.5848 | 0.7647 |
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+ | 0.0854 | 100.0 | 100 | 0.5805 | 0.6413 | 0.5805 | 0.7619 |
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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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