Llama-3.1-8B_auto
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Llama-31-8B_task-3_180-samples_config-1_full_auto
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the GaetanMichelet/chat-60_ft_task-3_auto, the GaetanMichelet/chat-120_ft_task-3_auto and the GaetanMichelet/chat-180_ft_task-3_auto datasets. It achieves the following results on the evaluation set:
- Loss: 1.1245
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6152 | 1.0 | 17 | 1.6114 |
| 1.4448 | 2.0 | 34 | 1.4188 |
| 1.1866 | 3.0 | 51 | 1.2109 |
| 1.071 | 4.0 | 68 | 1.1619 |
| 1.0559 | 5.0 | 85 | 1.1390 |
| 0.9877 | 6.0 | 102 | 1.1245 |
| 0.9672 | 7.0 | 119 | 1.1272 |
| 0.8614 | 8.0 | 136 | 1.1425 |
| 0.7722 | 9.0 | 153 | 1.1850 |
| 0.7255 | 10.0 | 170 | 1.2317 |
| 0.6638 | 11.0 | 187 | 1.2752 |
| 0.4688 | 12.0 | 204 | 1.3816 |
| 0.5007 | 13.0 | 221 | 1.3800 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for GaetanMichelet/Llama-31-8B_task-3_180-samples_config-1_full_auto
Base model
meta-llama/Llama-3.1-8B
Finetuned
meta-llama/Llama-3.1-8B-Instruct