---
library_name: transformers
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: llama_1b_step2_batch_v4
  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_v4

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3246

## 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: 4
- total_train_batch_size: 32
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.7442        | 0.1363 | 50   | 0.8824          |
| 0.5925        | 0.2727 | 100  | 0.6583          |
| 0.587         | 0.4090 | 150  | 0.5422          |
| 0.4862        | 0.5453 | 200  | 0.4668          |
| 0.4211        | 0.6817 | 250  | 0.4176          |
| 0.4013        | 0.8180 | 300  | 0.3846          |
| 0.4198        | 0.9543 | 350  | 0.3644          |
| 0.2427        | 1.0913 | 400  | 0.3562          |
| 0.2783        | 1.2277 | 450  | 0.3468          |
| 0.22          | 1.3640 | 500  | 0.3399          |
| 0.2263        | 1.5003 | 550  | 0.3335          |
| 0.2177        | 1.6367 | 600  | 0.3277          |
| 0.2579        | 1.7730 | 650  | 0.3251          |
| 0.1985        | 1.9093 | 700  | 0.3246          |


### Framework versions

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