635d450d-e407-4615-84f0-0026c58a8c98
This model is a fine-tuned version of openlm-research/open_llama_3b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0032
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: 0.000209
- train_batch_size: 4
- eval_batch_size: 4
- seed: 90
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0002 | 1 | 0.4862 |
| 0.0357 | 0.0096 | 50 | 0.0146 |
| 0.001 | 0.0192 | 100 | 0.0032 |
| 0.0016 | 0.0289 | 150 | 0.0034 |
| 0.0011 | 0.0385 | 200 | 0.0025 |
| 0.021 | 0.0481 | 250 | 0.0039 |
| 0.0011 | 0.0577 | 300 | 0.0035 |
| 0.0005 | 0.0674 | 350 | 0.0032 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Base model
openlm-research/open_llama_3b