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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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datasets: |
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- julien-c/reactiongif |
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metrics: |
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- accuracy |
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model-index: |
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- name: model |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.2662102282047272 |
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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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# model |
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unkown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.9150 |
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- Accuracy: 0.2662 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 3.0528 | 0.44 | 1000 | 3.0265 | 0.2223 | |
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| 2.9836 | 0.89 | 2000 | 2.9263 | 0.2332 | |
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| 2.7409 | 1.33 | 3000 | 2.9041 | 0.2533 | |
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| 2.7905 | 1.77 | 4000 | 2.8763 | 0.2606 | |
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| 2.4359 | 2.22 | 5000 | 2.9072 | 0.2642 | |
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| 2.4507 | 2.66 | 6000 | 2.9230 | 0.2644 | |
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### Framework versions |
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- Transformers 4.7.0.dev0 |
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- Pytorch 1.8.1+cu102 |
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- Datasets 1.8.0 |
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- Tokenizers 0.10.3 |
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