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-1_full
results: []
Llama-31-8B_task-2_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-2 dataset. It achieves the following results on the evaluation set:
- Loss: 1.0622
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 |
|---|---|---|---|
| 1.5616 | 0.8696 | 5 | 1.5646 |
| 1.5234 | 1.9130 | 11 | 1.4617 |
| 1.4186 | 2.9565 | 17 | 1.3542 |
| 1.2508 | 4.0 | 23 | 1.2442 |
| 1.1191 | 4.8696 | 28 | 1.1498 |
| 1.0371 | 5.9130 | 34 | 1.1010 |
| 0.9695 | 6.9565 | 40 | 1.0839 |
| 0.968 | 8.0 | 46 | 1.0704 |
| 0.9532 | 8.8696 | 51 | 1.0646 |
| 0.9439 | 9.9130 | 57 | 1.0622 |
| 0.8579 | 10.9565 | 63 | 1.0686 |
| 0.8117 | 12.0 | 69 | 1.0771 |
| 0.8138 | 12.8696 | 74 | 1.0899 |
| 0.7059 | 13.9130 | 80 | 1.1196 |
| 0.6519 | 14.9565 | 86 | 1.1535 |
| 0.65 | 16.0 | 92 | 1.2045 |
| 0.405 | 16.8696 | 97 | 1.2544 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1