Llama-3.1-8B
Collection
36 items • Updated
Llama-31-8B_task-3_180-samples_config-2_full
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the GaetanMichelet/chat-60_ft_task-3, the GaetanMichelet/chat-120_ft_task-3 and the GaetanMichelet/chat-180_ft_task-3 datasets. It achieves the following results on the evaluation set:
- Loss: 1.1381
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: 16
- total_train_batch_size: 16
- 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 |
|---|---|---|---|
| 1.695 | 0.9412 | 8 | 1.6759 |
| 1.5868 | 2.0 | 17 | 1.5454 |
| 1.473 | 2.9412 | 25 | 1.4198 |
| 1.2035 | 4.0 | 34 | 1.2535 |
| 1.1293 | 4.9412 | 42 | 1.1991 |
| 1.1361 | 6.0 | 51 | 1.1733 |
| 1.1333 | 6.9412 | 59 | 1.1571 |
| 1.0612 | 8.0 | 68 | 1.1462 |
| 0.9895 | 8.9412 | 76 | 1.1392 |
| 0.9858 | 10.0 | 85 | 1.1381 |
| 0.939 | 10.9412 | 93 | 1.1420 |
| 0.8747 | 12.0 | 102 | 1.1664 |
| 0.8694 | 12.9412 | 110 | 1.1780 |
| 0.8188 | 14.0 | 119 | 1.2246 |
| 0.697 | 14.9412 | 127 | 1.2348 |
| 0.6048 | 16.0 | 136 | 1.3102 |
| 0.5898 | 16.9412 | 144 | 1.3190 |
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-2_full
Base model
meta-llama/Llama-3.1-8B Finetuned
meta-llama/Llama-3.1-8B-Instruct