afceae27-e0c1-470b-9eee-53707a6ca68a
This model is a fine-tuned version of scb10x/llama-3-typhoon-v1.5-8b-instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2891
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: 0.000214
- train_batch_size: 4
- eval_batch_size: 4
- seed: 140
- 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 | 0.0003 | 1 | 2.0581 |
| 1.6979 | 0.0161 | 50 | 1.6667 |
| 1.4974 | 0.0322 | 100 | 1.6794 |
| 1.6134 | 0.0483 | 150 | 1.5296 |
| 1.5754 | 0.0644 | 200 | 1.4595 |
| 1.6729 | 0.0805 | 250 | 1.4287 |
| 1.5485 | 0.0966 | 300 | 1.3643 |
| 1.4645 | 0.1127 | 350 | 1.3250 |
| 1.4295 | 0.1288 | 400 | 1.2986 |
| 1.3994 | 0.1449 | 450 | 1.2904 |
| 1.3077 | 0.1610 | 500 | 1.2891 |
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 lesso14/afceae27-e0c1-470b-9eee-53707a6ca68a
Base model
scb10x/llama-3-typhoon-v1.5-8b-instruct