metadata
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- GaetanMichelet/chat-60_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_60-samples_config-2
results: []
Llama-31-8B_task-2_60-samples_config-2
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the GaetanMichelet/chat-60_ft_task-2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.7086
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 |
|---|---|---|---|
| 1.0749 | 0.6957 | 2 | 1.0893 |
| 1.0585 | 1.7391 | 5 | 1.0147 |
| 0.935 | 2.7826 | 8 | 0.8862 |
| 0.8267 | 3.8261 | 11 | 0.8299 |
| 0.7982 | 4.8696 | 14 | 0.7848 |
| 0.7295 | 5.9130 | 17 | 0.7512 |
| 0.7036 | 6.9565 | 20 | 0.7342 |
| 0.6598 | 8.0 | 23 | 0.7226 |
| 0.6493 | 8.6957 | 25 | 0.7157 |
| 0.5819 | 9.7391 | 28 | 0.7086 |
| 0.5695 | 10.7826 | 31 | 0.7087 |
| 0.5157 | 11.8261 | 34 | 0.7257 |
| 0.4755 | 12.8696 | 37 | 0.7442 |
| 0.4184 | 13.9130 | 40 | 0.7554 |
| 0.3399 | 14.9565 | 43 | 0.8076 |
| 0.2958 | 16.0 | 46 | 0.8420 |
| 0.2339 | 16.6957 | 48 | 0.9179 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1