|
|
--- |
|
|
library_name: transformers |
|
|
tags: |
|
|
- trl |
|
|
- sft |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: llama_1b_step2_batch_v5 |
|
|
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_1b_step2_batch_v5 |
|
|
|
|
|
This model was trained from scratch on an unknown dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.3301 |
|
|
|
|
|
## 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: 5e-05 |
|
|
- train_batch_size: 12 |
|
|
- eval_batch_size: 40 |
|
|
- seed: 42 |
|
|
- gradient_accumulation_steps: 4 |
|
|
- total_train_batch_size: 48 |
|
|
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
|
- lr_scheduler_type: linear |
|
|
- num_epochs: 2 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|
|:-------------:|:------:|:----:|:---------------:| |
|
|
| 0.9065 | 0.2045 | 50 | 0.7603 | |
|
|
| 0.5689 | 0.4090 | 100 | 0.5567 | |
|
|
| 0.4698 | 0.6135 | 150 | 0.4514 | |
|
|
| 0.3242 | 0.8180 | 200 | 0.3915 | |
|
|
| 0.2516 | 1.0225 | 250 | 0.3604 | |
|
|
| 0.26 | 1.2270 | 300 | 0.3525 | |
|
|
| 0.239 | 1.4315 | 350 | 0.3394 | |
|
|
| 0.2546 | 1.6360 | 400 | 0.3328 | |
|
|
| 0.2252 | 1.8405 | 450 | 0.3301 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.46.0 |
|
|
- Pytorch 2.1.0+cu118 |
|
|
- Datasets 3.0.2 |
|
|
- Tokenizers 0.20.1 |
|
|
|
