|
--- |
|
base_model: meta-llama/Llama-2-13b-hf |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: Llama-2-13b-hf-ds_eli5_1024_r_64_alpha_16 |
|
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. --> |
|
|
|
# Llama-2-13b-hf-ds_eli5_1024_r_64_alpha_16 |
|
|
|
This model is a fine-tuned version of [meta-llama/Llama-2-13b-hf](https://huggingface.co/meta-llama/Llama-2-13b-hf) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.1196 |
|
|
|
## 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: 16 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 8 |
|
- total_train_batch_size: 128 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_ratio: 0.03 |
|
- num_epochs: 1 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 2.0837 | 0.1 | 33 | 2.1338 | |
|
| 2.0369 | 0.2 | 66 | 2.1293 | |
|
| 2.0893 | 0.31 | 99 | 2.1324 | |
|
| 2.0821 | 0.41 | 132 | 2.1231 | |
|
| 2.0298 | 0.51 | 165 | 2.1225 | |
|
| 2.0817 | 0.61 | 198 | 2.1231 | |
|
| 2.0617 | 0.72 | 231 | 2.1205 | |
|
| 2.0323 | 0.82 | 264 | 2.1206 | |
|
| 2.0552 | 0.92 | 297 | 2.1196 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.33.0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.4 |
|
- Tokenizers 0.13.3 |
|
|
