4e981743-2631-4bbc-bbd3-c206d153db88
This model is a fine-tuned version of unsloth/llama-3-8b-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1732
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: 0.000211
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- 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 | 0.0000 | 1 | 1.8842 |
| 1.3818 | 0.0008 | 50 | 1.3631 |
| 1.5215 | 0.0015 | 100 | 1.3458 |
| 1.3823 | 0.0023 | 150 | 1.3206 |
| 1.3505 | 0.0030 | 200 | 1.3038 |
| 1.3068 | 0.0038 | 250 | 1.2655 |
| 1.4312 | 0.0045 | 300 | 1.2388 |
| 1.2387 | 0.0053 | 350 | 1.1994 |
| 1.2386 | 0.0060 | 400 | 1.1871 |
| 1.2862 | 0.0068 | 450 | 1.1761 |
| 1.2417 | 0.0075 | 500 | 1.1732 |
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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Model tree for lesso11/4e981743-2631-4bbc-bbd3-c206d153db88
Base model
unsloth/llama-3-8b-Instruct