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outputs
This model is a fine-tuned version of Mahmoud22/my-awesome-model on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0136
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: 8e-05
- train_batch_size: 44
- eval_batch_size: 88
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 352
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.98 | 23 | 0.0138 |
| No log | 1.98 | 46 | 0.0136 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
