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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-mic
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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-mic
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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: 0.6948
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- Accuracy: 0.7124
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- F1: 0.7122
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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: 5.8525604794432464e-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 | 22 | 0.5543 | 0.7124 | 0.7056 |
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| No log | 2.0 | 44 | 0.5304 | 0.7209 | 0.7191 |
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| No log | 3.0 | 66 | 0.5412 | 0.7331 | 0.7314 |
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| No log | 4.0 | 88 | 0.5614 | 0.7190 | 0.7175 |
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| No log | 5.0 | 110 | 0.6271 | 0.7133 | 0.7120 |
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| No log | 6.0 | 132 | 0.6746 | 0.7030 | 0.7024 |
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| No log | 7.0 | 154 | 0.6948 | 0.7124 | 0.7122 |
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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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