lora_num3
This model is a fine-tuned version of openlm-research/open_llama_7b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7808
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2647 | 1.0 | 37 | 2.0351 |
| 1.9841 | 2.0 | 74 | 1.9280 |
| 1.8341 | 3.0 | 111 | 1.8405 |
| 1.7472 | 4.0 | 148 | 1.8010 |
| 1.7096 | 5.0 | 185 | 1.7887 |
| 1.6943 | 6.0 | 222 | 1.7828 |
| 1.6705 | 7.0 | 259 | 1.7814 |
| 1.6625 | 8.0 | 296 | 1.7808 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1
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Base model
openlm-research/open_llama_7b