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_gamma-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_gamma-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: 16.7514
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- Accuracy: 0.3977
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- F1: 0.3868
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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: 88458
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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 | 12.6439 | 0.3228 | 0.2712 |
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| No log | 3.45 | 200 | 12.7249 | 0.3937 | 0.3882 |
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| No log | 5.17 | 300 | 12.8006 | 0.3902 | 0.3809 |
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| No log | 6.9 | 400 | 14.5097 | 0.3686 | 0.2952 |
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| 12.7089 | 8.62 | 500 | 13.4001 | 0.4017 | 0.3928 |
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| 12.7089 | 10.34 | 600 | 14.3419 | 0.4198 | 0.4042 |
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| 12.7089 | 12.07 | 700 | 14.6078 | 0.3907 | 0.3741 |
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| 12.7089 | 13.79 | 800 | 13.9429 | 0.3981 | 0.3942 |
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| 12.7089 | 15.52 | 900 | 14.5756 | 0.3999 | 0.4000 |
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| 8.5226 | 17.24 | 1000 | 14.8560 | 0.4012 | 0.3983 |
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| 8.5226 | 18.97 | 1100 | 15.4018 | 0.4061 | 0.3972 |
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| 8.5226 | 20.69 | 1200 | 15.6938 | 0.4127 | 0.4041 |
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| 8.5226 | 22.41 | 1300 | 15.9840 | 0.4004 | 0.3879 |
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| 8.5226 | 24.14 | 1400 | 15.9819 | 0.3977 | 0.3829 |
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| 6.1231 | 25.86 | 1500 | 16.0163 | 0.4052 | 0.3938 |
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| 6.1231 | 27.59 | 1600 | 16.2095 | 0.3968 | 0.3883 |
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| 6.1231 | 29.31 | 1700 | 16.7514 | 0.3977 | 0.3868 |
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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:a5e732dc86813f7aa4ea5aae36ccb1cd5302ee58d7658a2ab56ffbfa211a4787
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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:e8b3453b923b518621f6f6cfd46a368174b67c40fea5cc8ae75e2898bf8cabaf
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size 4600
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