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distilroberta_optionsChoose
This model is a fine-tuned version of distilroberta-base on the swag dataset. It achieves the following results on the evaluation set:
- Loss: 0.7727
- Accuracy: 0.7381
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.9344 | 1.0 | 4597 | 0.7569 | 0.6907 |
| 0.6714 | 2.0 | 9194 | 0.7102 | 0.7233 |
| 0.4522 | 3.0 | 13791 | 0.7727 | 0.7381 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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Model tree for ManuelPerdigo/distilroberta_optionsChoose
Base model
distilbert/distilroberta-base
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("ManuelPerdigo/distilroberta_optionsChoose") model = AutoModelForMultipleChoice.from_pretrained("ManuelPerdigo/distilroberta_optionsChoose")