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saiga_task_double_lora350
This model is a fine-tuned version of TheBloke/Llama-2-7B-fp16 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.6634
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: 0.0003
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 20
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 350
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5302 | 9.26 | 50 | 2.1777 |
| 1.0061 | 18.52 | 100 | 2.4897 |
| 0.5505 | 27.78 | 150 | 2.8614 |
| 0.2832 | 37.04 | 200 | 3.2451 |
| 0.1525 | 46.3 | 250 | 3.5339 |
| 0.1026 | 55.56 | 300 | 3.6407 |
| 0.0902 | 64.81 | 350 | 3.6634 |
Framework versions
- PEFT 0.10.0
- Transformers 4.36.2
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2
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Model tree for marcus2000/saiga_task_double_lora350
Base model
TheBloke/Llama-2-7B-fp16