metadata
library_name: transformers
license: llama3.1
base_model: meta-llama/Llama-3.1-8B-Instruct
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: llama_3_sky_o1_5_full
results: []
llama_3_sky_o1_5_full
This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.5866
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8116 | 0.0487 | 100 | 0.6762 |
| 0.727 | 0.0975 | 200 | 0.6912 |
| 0.7451 | 0.1462 | 300 | 0.6847 |
| 0.7268 | 0.1950 | 400 | 0.6761 |
| 0.7208 | 0.2437 | 500 | 0.6729 |
| 0.7045 | 0.2925 | 600 | 0.6669 |
| 0.6849 | 0.3412 | 700 | 0.6605 |
| 0.67 | 0.3900 | 800 | 0.6498 |
| 0.658 | 0.4387 | 900 | 0.6423 |
| 0.6511 | 0.4874 | 1000 | 0.6345 |
| 0.6408 | 0.5362 | 1100 | 0.6282 |
| 0.6283 | 0.5849 | 1200 | 0.6191 |
| 0.6178 | 0.6337 | 1300 | 0.6100 |
| 0.5971 | 0.6824 | 1400 | 0.6036 |
| 0.5904 | 0.7312 | 1500 | 0.6008 |
| 0.5859 | 0.7799 | 1600 | 0.5947 |
| 0.5758 | 0.8287 | 1700 | 0.5912 |
| 0.5766 | 0.8774 | 1800 | 0.5888 |
| 0.578 | 0.9262 | 1900 | 0.5874 |
| 0.5716 | 0.9749 | 2000 | 0.5866 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1