|
--- |
|
base_model: NousResearch/Meta-Llama-3.1-8B-Instruct |
|
datasets: |
|
- generator |
|
library_name: peft |
|
license: llama3.1 |
|
tags: |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
model-index: |
|
- name: llama381binstruct_summarize_short |
|
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. --> |
|
|
|
# llama381binstruct_summarize_short |
|
|
|
This model is a fine-tuned version of [NousResearch/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3.1-8B-Instruct) on the generator dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.3230 |
|
|
|
## 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: 1 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 30 |
|
- training_steps: 500 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 1.616 | 1.25 | 25 | 1.4605 | |
|
| 0.7705 | 2.5 | 50 | 1.4575 | |
|
| 0.3691 | 3.75 | 75 | 1.5446 | |
|
| 0.1573 | 5.0 | 100 | 1.6476 | |
|
| 0.1067 | 6.25 | 125 | 1.7580 | |
|
| 0.0391 | 7.5 | 150 | 2.0052 | |
|
| 0.0248 | 8.75 | 175 | 2.0620 | |
|
| 0.0178 | 10.0 | 200 | 2.0495 | |
|
| 0.0142 | 11.25 | 225 | 2.0332 | |
|
| 0.0044 | 12.5 | 250 | 2.1315 | |
|
| 0.0043 | 13.75 | 275 | 2.2304 | |
|
| 0.0034 | 15.0 | 300 | 2.2290 | |
|
| 0.0047 | 16.25 | 325 | 2.2549 | |
|
| 0.0027 | 17.5 | 350 | 2.2630 | |
|
| 0.0023 | 18.75 | 375 | 2.2856 | |
|
| 0.0028 | 20.0 | 400 | 2.3005 | |
|
| 0.0025 | 21.25 | 425 | 2.3111 | |
|
| 0.002 | 22.5 | 450 | 2.3187 | |
|
| 0.0018 | 23.75 | 475 | 2.3216 | |
|
| 0.0021 | 25.0 | 500 | 2.3230 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.12.0 |
|
- Transformers 4.44.2 |
|
- Pytorch 2.4.0+cu121 |
|
- Datasets 3.0.0 |
|
- Tokenizers 0.19.1 |