metadata
license: llama3
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B-Instruct
model-index:
- name: huggingface
results: []
huggingface
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5034
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 2
- total_eval_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 410 | 0.4175 |
| 0.4374 | 2.0 | 820 | 0.4132 |
| 0.396 | 3.0 | 1230 | 0.4211 |
| 0.36 | 4.0 | 1640 | 0.4311 |
| 0.317 | 5.0 | 2050 | 0.4538 |
| 0.317 | 6.0 | 2460 | 0.4707 |
| 0.28 | 7.0 | 2870 | 0.4940 |
| 0.2505 | 8.0 | 3280 | 0.5034 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.0.1+cu117
- Datasets 2.19.2
- Tokenizers 0.19.1