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zephyr7b_alpha_finetuned_8_bit
This model is a fine-tuned version of TheBloke/zephyr-7B-alpha-GPTQ on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8121
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4405 | 1.0 | 901 | 0.6802 |
| 0.272 | 2.0 | 1802 | 0.7367 |
| 0.1984 | 3.0 | 2703 | 0.7759 |
| 0.1523 | 4.0 | 3604 | 0.8121 |
Framework versions
- Transformers 4.35.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1
