---
library_name: transformers
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: llama_3b_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_3b_step2_batch_v5

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3275

## 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: 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.9071        | 0.1363 | 50   | 0.8211          |
| 0.7063        | 0.2727 | 100  | 0.6140          |
| 0.5548        | 0.4090 | 150  | 0.5100          |
| 0.3776        | 0.5453 | 200  | 0.4445          |
| 0.4611        | 0.6817 | 250  | 0.4011          |
| 0.3701        | 0.8180 | 300  | 0.3742          |
| 0.325         | 0.9543 | 350  | 0.3529          |
| 0.2093        | 1.0913 | 400  | 0.3522          |
| 0.2459        | 1.2277 | 450  | 0.3428          |
| 0.201         | 1.3640 | 500  | 0.3355          |
| 0.2741        | 1.5003 | 550  | 0.3312          |
| 0.2596        | 1.6367 | 600  | 0.3283          |
| 0.2138        | 1.7730 | 650  | 0.3281          |
| 0.2181        | 1.9093 | 700  | 0.3275          |


### Framework versions

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