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: 1.5287
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 |
|---|---|---|---|
| 1.794 | 0.1389 | 25 | 1.6986 |
| 1.6478 | 0.2778 | 50 | 1.6411 |
| 1.5549 | 0.4167 | 75 | 1.5937 |
| 1.4962 | 0.5556 | 100 | 1.5652 |
| 1.4841 | 0.6944 | 125 | 1.5430 |
| 1.563 | 0.8333 | 150 | 1.5320 |
| 1.51 | 0.9722 | 175 | 1.5287 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for jester20/saiga_llama3_sum_8bit_qdora_v02
Base model
IlyaGusev/saiga_llama3_8b