metadata
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- GaetanMichelet/chat-60_ft_task-3_auto
- GaetanMichelet/chat-120_ft_task-3_auto
library_name: peft
license: llama3.1
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: Llama-31-8B_task-3_120-samples_config-2_auto
results: []
Llama-31-8B_task-3_120-samples_config-2_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 and the GaetanMichelet/chat-120_ft_task-3_auto datasets. It achieves the following results on the evaluation set:
- Loss: 0.3272
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 |
|---|---|---|---|
| 2.2357 | 0.9091 | 5 | 2.1322 |
| 1.6899 | 2.0 | 11 | 1.3005 |
| 0.6881 | 2.9091 | 16 | 0.6189 |
| 0.5601 | 4.0 | 22 | 0.4413 |
| 0.3305 | 4.9091 | 27 | 0.3900 |
| 0.3093 | 6.0 | 33 | 0.3525 |
| 0.2941 | 6.9091 | 38 | 0.3440 |
| 0.2705 | 8.0 | 44 | 0.3357 |
| 0.255 | 8.9091 | 49 | 0.3278 |
| 0.1954 | 10.0 | 55 | 0.3272 |
| 0.1796 | 10.9091 | 60 | 0.3391 |
| 0.1892 | 12.0 | 66 | 0.3651 |
| 0.1795 | 12.9091 | 71 | 0.3963 |
| 0.0982 | 14.0 | 77 | 0.4424 |
| 0.0568 | 14.9091 | 82 | 0.5230 |
| 0.046 | 16.0 | 88 | 0.6079 |
| 0.0156 | 16.9091 | 93 | 0.6626 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1