metadata
license: other
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B
datasets:
- generator
model-index:
- name: results_packing
results: []
results_packing
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.4308
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: 7.5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.571 | 0.1632 | 250 | 0.4770 |
| 0.401 | 0.3264 | 500 | 0.4632 |
| 0.465 | 0.4896 | 750 | 0.4533 |
| 0.4655 | 0.6527 | 1000 | 0.4458 |
| 0.406 | 0.8159 | 1250 | 0.4436 |
| 0.4921 | 0.9791 | 1500 | 0.4450 |
| 0.5231 | 1.1423 | 1750 | 0.4393 |
| 0.3529 | 1.3055 | 2000 | 0.4324 |
| 0.3498 | 1.4687 | 2250 | 0.4334 |
| 0.55 | 1.6319 | 2500 | 0.4286 |
| 0.3265 | 1.7950 | 2750 | 0.4275 |
| 0.351 | 1.9582 | 3000 | 0.4242 |
| 0.3074 | 2.1214 | 3250 | 0.4334 |
| 0.3342 | 2.2846 | 3500 | 0.4299 |
| 0.343 | 2.4478 | 3750 | 0.4305 |
| 0.3406 | 2.6110 | 4000 | 0.4306 |
| 0.3175 | 2.7742 | 4250 | 0.4308 |
| 0.4474 | 2.9373 | 4500 | 0.4308 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.1.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1