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README.md
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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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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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5308
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- Accuracy: 0.7764
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- F1: 0.7744
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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: 1.786634543080922e-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 | 46 | 0.6594 | 0.6699 | 0.6581 |
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| No log | 2.0 | 92 | 0.5253 | 0.7575 | 0.7574 |
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| No log | 3.0 | 138 | 0.5651 | 0.7394 | 0.7338 |
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| No log | 4.0 | 184 | 0.4815 | 0.7862 | 0.7860 |
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| No log | 5.0 | 230 | 0.5280 | 0.7734 | 0.7721 |
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| No log | 6.0 | 276 | 0.5066 | 0.7786 | 0.7776 |
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| No log | 7.0 | 322 | 0.5308 | 0.7764 | 0.7744 |
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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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