metadata
license: llama3.1
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
model-index:
- name: llama3.1_8b_bwgenerator
results: []
llama3.1_8b_bwgenerator
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1084
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7243 | 0.1373 | 40 | 0.2700 |
| 0.2306 | 0.2746 | 80 | 0.2057 |
| 0.1693 | 0.4120 | 120 | 0.1377 |
| 0.1284 | 0.5493 | 160 | 0.1213 |
| 0.1176 | 0.6866 | 200 | 0.1148 |
| 0.1127 | 0.8239 | 240 | 0.1100 |
| 0.1098 | 0.9613 | 280 | 0.1084 |
Framework versions
- PEFT 0.10.0
- Transformers 4.44.0
- Pytorch 2.3.0+cu121
- Datasets 2.14.7
- Tokenizers 0.19.1