model
This model is a fine-tuned version of distilroberta-base on an unkown dataset. It achieves the following results on the evaluation set:
- Loss: 2.9150
- Accuracy: 0.2662
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.0528 | 0.44 | 1000 | 3.0265 | 0.2223 |
| 2.9836 | 0.89 | 2000 | 2.9263 | 0.2332 |
| 2.7409 | 1.33 | 3000 | 2.9041 | 0.2533 |
| 2.7905 | 1.77 | 4000 | 2.8763 | 0.2606 |
| 2.4359 | 2.22 | 5000 | 2.9072 | 0.2642 |
| 2.4507 | 2.66 | 6000 | 2.9230 | 0.2644 |
Framework versions
- Transformers 4.7.0.dev0
- Pytorch 1.8.1+cu102
- Datasets 1.8.0
- Tokenizers 0.10.3
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Dataset used to train julien-c/reactiongif-roberta
Evaluation results
- Accuracyself-reported0.266