metadata
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- GaetanMichelet/chat-60_ft_task-2_auto
- GaetanMichelet/chat-120_ft_task-2_auto
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_auto
results: []
Llama-31-8B_task-2_120-samples_config-2_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-2_auto and the GaetanMichelet/chat-120_ft_task-2_auto datasets. It achieves the following results on the evaluation set:
- Loss: 0.9982
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 |
|---|---|---|---|
| 1.5395 | 0.9091 | 5 | 1.5119 |
| 1.4907 | 2.0 | 11 | 1.4172 |
| 1.3412 | 2.9091 | 16 | 1.3288 |
| 1.2282 | 4.0 | 22 | 1.2153 |
| 1.1141 | 4.9091 | 27 | 1.1136 |
| 1.0131 | 6.0 | 33 | 1.0540 |
| 1.0044 | 6.9091 | 38 | 1.0380 |
| 0.9748 | 8.0 | 44 | 1.0223 |
| 0.937 | 8.9091 | 49 | 1.0142 |
| 0.9481 | 10.0 | 55 | 1.0053 |
| 0.9023 | 10.9091 | 60 | 1.0011 |
| 0.8716 | 12.0 | 66 | 0.9987 |
| 0.849 | 12.9091 | 71 | 0.9982 |
| 0.836 | 14.0 | 77 | 1.0032 |
| 0.7365 | 14.9091 | 82 | 1.0176 |
| 0.7495 | 16.0 | 88 | 1.0259 |
| 0.6882 | 16.9091 | 93 | 1.0410 |
| 0.6301 | 18.0 | 99 | 1.0708 |
| 0.6114 | 18.9091 | 104 | 1.1067 |
| 0.591 | 20.0 | 110 | 1.1334 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1