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--- |
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license: apache-2.0 |
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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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base_model: distilroberta-base |
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model-index: |
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- name: distilroberta-base-etc |
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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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# distilroberta-base-etc |
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3382 |
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- Accuracy: 0.919 |
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- F1: 0.9190 |
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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: 4.969790133269121e-05 |
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- train_batch_size: 400 |
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- eval_batch_size: 400 |
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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: 7 |
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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 | 1.0 | 84 | 0.2372 | 0.907 | 0.9070 | |
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| No log | 2.0 | 168 | 0.2358 | 0.9083 | 0.9083 | |
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| No log | 3.0 | 252 | 0.2430 | 0.9137 | 0.9137 | |
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| No log | 4.0 | 336 | 0.2449 | 0.919 | 0.9190 | |
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| No log | 5.0 | 420 | 0.2884 | 0.9193 | 0.9193 | |
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| No log | 6.0 | 504 | 0.3179 | 0.9167 | 0.9167 | |
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| No log | 7.0 | 588 | 0.3382 | 0.919 | 0.9190 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.11.0+cu113 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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