|
--- |
|
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: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# results_packing |
|
|
|
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/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 |
