metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B
model-index:
- name: out
results: []
Details
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the jondurbin/airoboros-3.2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.8437
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1845 | 0.0 | 1 | 1.1821 |
| 0.9328 | 0.25 | 114 | 0.9228 |
| 0.8961 | 0.5 | 228 | 0.8713 |
| 0.824 | 0.75 | 342 | 0.8437 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0.dev0
- Pytorch 2.1.2+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0