big-16
This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the big_data_new_train dataset. It achieves the following results on the evaluation set:
- Loss: 1.2450
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 4 | 2.6337 |
| No log | 2.0 | 8 | 2.4470 |
| 2.5759 | 3.0 | 12 | 1.8469 |
| 2.5759 | 4.0 | 16 | 1.5055 |
| 1.649 | 5.0 | 20 | 1.3744 |
| 1.649 | 6.0 | 24 | 1.2959 |
| 1.649 | 7.0 | 28 | 1.2352 |
| 1.2193 | 8.0 | 32 | 1.1866 |
| 1.2193 | 9.0 | 36 | 1.1764 |
| 0.9718 | 10.0 | 40 | 1.1889 |
| 0.9718 | 11.0 | 44 | 1.1943 |
| 0.9718 | 12.0 | 48 | 1.2450 |
Framework versions
- PEFT 0.15.1
- Transformers 4.51.1
- Pytorch 2.7.1+cu126
- Datasets 2.21.0
- Tokenizers 0.21.0
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Model tree for Gnomy19/gnomes
Base model
meta-llama/Llama-3.1-8B Finetuned
meta-llama/Llama-3.1-8B-Instruct