metadata
library_name: peft
license: llama3.1
base_model: meta-llama/Llama-3.1-70B-Instruct
tags:
- trl
- sft
- unsloth
- generated_from_trainer
model-index:
- name: llama-3.1-70B-Instruct_playpen_SFT_DFINAL_1.1K-steps
results: []
llama-3.1-70B-Instruct_playpen_SFT_DFINAL_1.1K-steps
This model is a fine-tuned version of meta-llama/Llama-3.1-70B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2117
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 8
- seed: 7331
- optimizer: Use adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- lr_scheduler_warmup_steps: 5
- training_steps: 1100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1986 | 0.0565 | 100 | 0.3041 |
| 0.304 | 0.1130 | 200 | 0.2570 |
| 0.1929 | 0.1695 | 300 | 0.2578 |
| 0.149 | 0.2260 | 400 | 0.2319 |
| 0.1458 | 0.2825 | 500 | 0.2283 |
| 0.1391 | 0.3390 | 600 | 0.2314 |
| 0.0896 | 0.3955 | 700 | 0.2175 |
| 0.1225 | 0.4520 | 800 | 0.2172 |
| 0.0894 | 0.5085 | 900 | 0.2137 |
| 0.1038 | 0.5650 | 1000 | 0.2112 |
| 0.1273 | 0.6215 | 1100 | 0.2117 |
Framework versions
- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.21.0