---
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: 0.3240

## 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: 6
- eval_batch_size: 40
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 1.0775        | 0.1022 | 50   | 0.9867          |
| 0.773         | 0.2045 | 100  | 0.7635          |
| 0.6877        | 0.3067 | 150  | 0.6190          |
| 0.5539        | 0.4090 | 200  | 0.5455          |
| 0.5489        | 0.5112 | 250  | 0.4832          |
| 0.5126        | 0.6135 | 300  | 0.4512          |
| 0.3873        | 0.7157 | 350  | 0.4194          |
| 0.4313        | 0.8180 | 400  | 0.3849          |
| 0.4021        | 0.9202 | 450  | 0.3643          |
| 0.2229        | 1.0225 | 500  | 0.3647          |
| 0.2363        | 1.1247 | 550  | 0.3558          |
| 0.2136        | 1.2270 | 600  | 0.3453          |
| 0.1827        | 1.3292 | 650  | 0.3391          |
| 0.2226        | 1.4315 | 700  | 0.3336          |
| 0.1935        | 1.5337 | 750  | 0.3292          |
| 0.2207        | 1.6360 | 800  | 0.3266          |
| 0.2445        | 1.7382 | 850  | 0.3254          |
| 0.1998        | 1.8405 | 900  | 0.3245          |
| 0.2059        | 1.9427 | 950  | 0.3240          |


### Framework versions

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