tinyllama-qwantz-gen
This model is a fine-tuned version of unsloth/tinyllama-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4666
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4795 | 1.0 | 313 | 1.4780 |
| 1.4449 | 2.0 | 626 | 1.4666 |
Framework versions
- PEFT 0.11.1
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for paul-stansifer/tinyllama-qwantz-gen
Base model
unsloth/tinyllama-bnb-4bit