mixtral-casual-language-modeling
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6178
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: 2e-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 |
|---|---|---|---|
| No log | 1.0 | 380 | 1.8315 |
| 2.1652 | 2.0 | 760 | 1.6613 |
| 1.7978 | 3.0 | 1140 | 1.6178 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.2.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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