|
--- |
|
license: other |
|
base_model: huggyllama/llama-7b |
|
tags: |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
datasets: |
|
- generator |
|
model-index: |
|
- name: llama-lima |
|
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-lima |
|
|
|
This model is a fine-tuned version of [huggyllama/llama-7b](https://huggingface.co/huggyllama/llama-7b) on the generator dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.9975 |
|
|
|
## 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: 2e-05 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 16 |
|
- total_train_batch_size: 128 |
|
- total_eval_batch_size: 128 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 10.0 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 1.8892 | 1.0 | 6 | 1.7981 | |
|
| 1.7346 | 2.0 | 12 | 1.7421 | |
|
| 1.5782 | 3.0 | 18 | 1.6837 | |
|
| 1.3988 | 4.0 | 24 | 1.7017 | |
|
| 1.0825 | 5.0 | 30 | 1.7303 | |
|
| 0.9252 | 6.0 | 36 | 1.8102 | |
|
| 0.794 | 7.0 | 42 | 1.9195 | |
|
| 0.7094 | 8.0 | 48 | 1.9669 | |
|
| 0.6205 | 9.0 | 54 | 1.9970 | |
|
| 0.5749 | 10.0 | 60 | 1.9975 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.38.2 |
|
- Pytorch 2.1.2 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.15.2 |
|
|
