metadata
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- GaetanMichelet/chat-60_ft_task-2
- GaetanMichelet/chat-120_ft_task-2
library_name: peft
license: llama3.1
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: Llama-31-8B_task-2_120-samples_config-2_full
results: []
Llama-31-8B_task-2_120-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-2 and the GaetanMichelet/chat-120_ft_task-2 datasets. It achieves the following results on the evaluation set:
- Loss: 1.0340
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 |
|---|---|---|---|
| 1.6102 | 0.9091 | 5 | 1.5743 |
| 1.5449 | 2.0 | 11 | 1.4671 |
| 1.3801 | 2.9091 | 16 | 1.3715 |
| 1.272 | 4.0 | 22 | 1.2587 |
| 1.1581 | 4.9091 | 27 | 1.1534 |
| 1.0495 | 6.0 | 33 | 1.0936 |
| 1.0426 | 6.9091 | 38 | 1.0769 |
| 1.0149 | 8.0 | 44 | 1.0613 |
| 0.9765 | 8.9091 | 49 | 1.0516 |
| 0.9857 | 10.0 | 55 | 1.0432 |
| 0.9438 | 10.9091 | 60 | 1.0381 |
| 0.9103 | 12.0 | 66 | 1.0347 |
| 0.8842 | 12.9091 | 71 | 1.0340 |
| 0.872 | 14.0 | 77 | 1.0358 |
| 0.7743 | 14.9091 | 82 | 1.0479 |
| 0.7851 | 16.0 | 88 | 1.0549 |
| 0.7288 | 16.9091 | 93 | 1.0722 |
| 0.6647 | 18.0 | 99 | 1.0962 |
| 0.6477 | 18.9091 | 104 | 1.1323 |
| 0.6269 | 20.0 | 110 | 1.1614 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1