qdora
This model is a fine-tuned version of IlyaGusev/saiga_llama3_8b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3202
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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4394 | 0.18 | 300 | 1.3498 |
| 1.2616 | 0.35 | 600 | 1.3303 |
| 1.3217 | 0.53 | 900 | 1.3242 |
| 1.283 | 0.71 | 1200 | 1.3210 |
| 1.1599 | 0.88 | 1500 | 1.3202 |
Framework versions
- PEFT 0.11.2.dev0
- Transformers 4.38.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.15.2
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Base model
IlyaGusev/saiga_llama3_8b