metadata
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- GaetanMichelet/chat-60_ft_task-3
library_name: peft
license: llama3.1
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: Llama-31-8B_task-3_60-samples_config-1_full
results: []
Llama-31-8B_task-3_60-samples_config-1_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 dataset. It achieves the following results on the evaluation set:
- Loss: 1.1645
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 |
|---|---|---|---|
| 1.6787 | 0.8696 | 5 | 1.6761 |
| 1.6422 | 1.9130 | 11 | 1.5859 |
| 1.5493 | 2.9565 | 17 | 1.4786 |
| 1.3749 | 4.0 | 23 | 1.3613 |
| 1.2143 | 4.8696 | 28 | 1.2559 |
| 1.1354 | 5.9130 | 34 | 1.2058 |
| 1.0603 | 6.9565 | 40 | 1.1850 |
| 1.0521 | 8.0 | 46 | 1.1711 |
| 1.0417 | 8.8696 | 51 | 1.1646 |
| 1.025 | 9.9130 | 57 | 1.1645 |
| 0.9238 | 10.9565 | 63 | 1.1722 |
| 0.8752 | 12.0 | 69 | 1.1791 |
| 0.8737 | 12.8696 | 74 | 1.1912 |
| 0.7418 | 13.9130 | 80 | 1.2409 |
| 0.6853 | 14.9565 | 86 | 1.3252 |
| 0.6937 | 16.0 | 92 | 1.2866 |
| 0.442 | 16.8696 | 97 | 1.3294 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1