---
library_name: transformers
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: llama_1b_step2_batch_grad_v2
  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_grad_v2

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3255

## 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: 8
- eval_batch_size: 40
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 1.0959        | 0.0682 | 50   | 1.1193          |
| 0.8353        | 0.1363 | 100  | 0.9093          |
| 0.8185        | 0.2045 | 150  | 0.7860          |
| 0.6476        | 0.2727 | 200  | 0.6876          |
| 0.6211        | 0.3408 | 250  | 0.6156          |
| 0.5487        | 0.4090 | 300  | 0.5546          |
| 0.3495        | 0.4772 | 350  | 0.5092          |
| 0.4872        | 0.5453 | 400  | 0.4798          |
| 0.5069        | 0.6135 | 450  | 0.4531          |
| 0.3867        | 0.6817 | 500  | 0.4269          |
| 0.3495        | 0.7498 | 550  | 0.4099          |
| 0.3642        | 0.8180 | 600  | 0.3949          |
| 0.4026        | 0.8862 | 650  | 0.3778          |
| 0.3184        | 0.9543 | 700  | 0.3638          |
| 0.2109        | 1.0225 | 750  | 0.3620          |
| 0.3049        | 1.0907 | 800  | 0.3598          |
| 0.2303        | 1.1588 | 850  | 0.3548          |
| 0.2837        | 1.2270 | 900  | 0.3498          |
| 0.2812        | 1.2952 | 950  | 0.3418          |
| 0.212         | 1.3633 | 1000 | 0.3414          |
| 0.2756        | 1.4315 | 1050 | 0.3354          |
| 0.2508        | 1.4997 | 1100 | 0.3329          |
| 0.2125        | 1.5678 | 1150 | 0.3312          |
| 0.1492        | 1.6360 | 1200 | 0.3294          |
| 0.2738        | 1.7042 | 1250 | 0.3273          |
| 0.2589        | 1.7723 | 1300 | 0.3264          |
| 0.1845        | 1.8405 | 1350 | 0.3257          |
| 0.2307        | 1.9087 | 1400 | 0.3255          |
| 0.2417        | 1.9768 | 1450 | 0.3255          |


### Framework versions

- Transformers 4.46.0
- Pytorch 2.1.0+cu118
- Datasets 3.0.2
- Tokenizers 0.20.1