metadata
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- GaetanMichelet/chat-60_ft_task-1_auto
library_name: peft
license: llama3.1
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: Llama-31-8B_task-1_60-samples_config-1_full_auto
results: []
Llama-31-8B_task-1_60-samples_config-1_full_auto
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the GaetanMichelet/chat-60_ft_task-1_auto dataset. It achieves the following results on the evaluation set:
- Loss: 0.8247
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 |
|---|---|---|---|
| 2.1899 | 0.8696 | 5 | 2.0616 |
| 1.9473 | 1.9130 | 11 | 1.7736 |
| 1.6049 | 2.9565 | 17 | 1.4599 |
| 1.1934 | 4.0 | 23 | 1.0350 |
| 0.8711 | 4.8696 | 28 | 0.9062 |
| 0.8035 | 5.9130 | 34 | 0.8637 |
| 0.7366 | 6.9565 | 40 | 0.8406 |
| 0.6995 | 8.0 | 46 | 0.8247 |
| 0.6613 | 8.8696 | 51 | 0.8259 |
| 0.5531 | 9.9130 | 57 | 0.8318 |
| 0.5061 | 10.9565 | 63 | 0.8598 |
| 0.3776 | 12.0 | 69 | 0.9167 |
| 0.264 | 12.8696 | 74 | 1.0158 |
| 0.1878 | 13.9130 | 80 | 1.1250 |
| 0.1417 | 14.9565 | 86 | 1.2038 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1