---
library_name: transformers
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: llama_3b_step2_batch_v6
  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_3b_step2_batch_v6

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3283

## 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: 3e-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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.7711        | 0.2045 | 50   | 0.7348          |
| 0.6015        | 0.4090 | 100  | 0.5288          |
| 0.4361        | 0.6135 | 150  | 0.4369          |
| 0.4042        | 0.8180 | 200  | 0.3823          |
| 0.2702        | 1.0225 | 250  | 0.3534          |
| 0.2904        | 1.2270 | 300  | 0.3452          |
| 0.2778        | 1.4315 | 350  | 0.3350          |
| 0.2673        | 1.6360 | 400  | 0.3308          |
| 0.2258        | 1.8405 | 450  | 0.3283          |


### Framework versions

- Transformers 4.46.1
- Pytorch 2.1.0+cu118
- Datasets 3.0.2
- Tokenizers 0.20.1