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: 0.6105
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 | 143 | 0.4964 |
| No log | 2.0 | 286 | 0.4890 |
| No log | 3.0 | 429 | 0.4935 |
| 0.4575 | 4.0 | 572 | 0.5059 |
| 0.4575 | 5.0 | 715 | 0.5353 |
| 0.4575 | 6.0 | 858 | 0.5662 |
| 0.3146 | 7.0 | 1001 | 0.5934 |
| 0.3146 | 8.0 | 1144 | 0.6105 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.0.1+cu117
- Datasets 2.19.2
- Tokenizers 0.19.1