Initial Commit
Browse files- README.md +78 -0
- config.json +39 -0
- pytorch_model.bin +3 -0
- training_args.bin +3 -0
README.md
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---
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license: mit
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base_model: haryoaw/scenario-TCR_data-cl-cardiff_cl_only2
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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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- f1
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model-index:
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- name: scenario-KD-PO-CDF-EN-FROM-CL-D2_data-en-cardiff_eng_only_alpha-jason
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results: []
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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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# scenario-KD-PO-CDF-EN-FROM-CL-D2_data-en-cardiff_eng_only_alpha-jason
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This model is a fine-tuned version of [haryoaw/scenario-TCR_data-cl-cardiff_cl_only2](https://huggingface.co/haryoaw/scenario-TCR_data-cl-cardiff_cl_only2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 15.6158
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- Accuracy: 0.4061
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- F1: 0.3950
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 2222
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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: 30
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.72 | 100 | 12.5428 | 0.3796 | 0.3146 |
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| No log | 3.45 | 200 | 12.5657 | 0.3845 | 0.3414 |
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| No log | 5.17 | 300 | 12.6557 | 0.3911 | 0.3631 |
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| No log | 6.9 | 400 | 13.2594 | 0.4012 | 0.3807 |
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| 13.0153 | 8.62 | 500 | 13.2352 | 0.3920 | 0.3836 |
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| 13.0153 | 10.34 | 600 | 13.9522 | 0.3854 | 0.3638 |
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| 13.0153 | 12.07 | 700 | 13.2917 | 0.3902 | 0.3891 |
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| 13.0153 | 13.79 | 800 | 14.1281 | 0.3924 | 0.3931 |
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| 13.0153 | 15.52 | 900 | 14.3501 | 0.4004 | 0.3889 |
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| 9.1779 | 17.24 | 1000 | 14.2606 | 0.3955 | 0.3757 |
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| 9.1779 | 18.97 | 1100 | 14.6113 | 0.4008 | 0.3953 |
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| 9.1779 | 20.69 | 1200 | 14.9622 | 0.3973 | 0.3864 |
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| 9.1779 | 22.41 | 1300 | 15.3755 | 0.3898 | 0.3652 |
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| 9.1779 | 24.14 | 1400 | 15.1117 | 0.4087 | 0.4015 |
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| 6.5007 | 25.86 | 1500 | 15.5084 | 0.4101 | 0.4075 |
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| 6.5007 | 27.59 | 1600 | 15.5980 | 0.3955 | 0.3892 |
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| 6.5007 | 29.31 | 1700 | 15.6158 | 0.4061 | 0.3950 |
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### Framework versions
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- Transformers 4.33.3
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- Pytorch 2.1.1+cu121
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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config.json
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{
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"_name_or_path": "haryoaw/scenario-TCR_data-cl-cardiff_cl_only2",
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"architectures": [
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"XLMRobertaForSequenceClassificationKD"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 384,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2"
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},
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"initializer_range": 0.02,
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"intermediate_size": 1536,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "xlm-roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 6,
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"output_past": true,
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"pad_token_id": 1,
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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": "4.33.3",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 250002
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:79c89ad1d791a13f80821024ecc78d975bc7399f833f9921c58406957dfe1850
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size 429199798
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:40f75ce0c274c3159584e94106825f9cd86407879cb024f3ceb2bb4a3871e8fc
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size 4600
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