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--- |
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base_model: allenai/scibert_scivocab_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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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: SciBERT_AsymmetricLoss_25K_bs64_P1_N1 |
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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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# SciBERT_AsymmetricLoss_25K_bs64_P1_N1 |
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This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 67.0896 |
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- Accuracy: 0.9945 |
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- Precision: 0.7586 |
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- Recall: 0.6438 |
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- F1: 0.6965 |
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- Hamming: 0.0055 |
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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: 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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- lr_scheduler_warmup_ratio: 0.1 |
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- training_steps: 25000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Hamming | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|:-------:| |
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| 83.6475 | 0.16 | 5000 | 79.3653 | 0.9938 | 0.7361 | 0.5667 | 0.6404 | 0.0062 | |
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| 75.8712 | 0.32 | 10000 | 72.7250 | 0.9942 | 0.7513 | 0.6068 | 0.6714 | 0.0058 | |
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| 72.4202 | 0.47 | 15000 | 69.4174 | 0.9944 | 0.7568 | 0.6237 | 0.6838 | 0.0056 | |
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| 70.0693 | 0.63 | 20000 | 67.8098 | 0.9945 | 0.7561 | 0.6385 | 0.6923 | 0.0055 | |
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| 68.9765 | 0.79 | 25000 | 67.0896 | 0.9945 | 0.7586 | 0.6438 | 0.6965 | 0.0055 | |
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### Framework versions |
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- Transformers 4.35.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.7.1 |
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- Tokenizers 0.14.1 |
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