|
--- |
|
license: llama3 |
|
library_name: peft |
|
tags: |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
base_model: meta-llama/Meta-Llama-3-8B-Instruct |
|
model-index: |
|
- name: experiments |
|
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. --> |
|
|
|
# experiments |
|
|
|
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.6596 |
|
|
|
## 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: 0.0001 |
|
- train_batch_size: 1 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 8 |
|
- total_train_batch_size: 8 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_ratio: 0.05 |
|
- num_epochs: 20 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| 1.7073 | 0.4162 | 50 | 1.5993 | |
|
| 1.4004 | 0.8325 | 100 | 1.4527 | |
|
| 1.3051 | 1.2487 | 150 | 1.4122 | |
|
| 1.2396 | 1.6649 | 200 | 1.3871 | |
|
| 1.2044 | 2.0812 | 250 | 1.3906 | |
|
| 1.1019 | 2.4974 | 300 | 1.3775 | |
|
| 1.2682 | 2.9136 | 350 | 1.3649 | |
|
| 1.1681 | 3.3299 | 400 | 1.4233 | |
|
| 1.1343 | 3.7461 | 450 | 1.4160 | |
|
| 0.7987 | 4.1623 | 500 | 1.4964 | |
|
| 0.8663 | 4.5786 | 550 | 1.5011 | |
|
| 0.7473 | 4.9948 | 600 | 1.4845 | |
|
| 0.7386 | 5.4110 | 650 | 1.5706 | |
|
| 0.61 | 5.8273 | 700 | 1.5695 | |
|
| 0.4689 | 6.2435 | 750 | 1.6596 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.11.1 |
|
- Transformers 4.41.2 |
|
- Pytorch 1.13.1+cu117 |
|
- Datasets 2.19.2 |
|
- Tokenizers 0.19.1 |
