---
library_name: transformers
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: llama_3b_step2_batch_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_3b_step2_batch_v2

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3132

## 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: 2
- eval_batch_size: 40
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.993         | 0.0341 | 50   | 1.1011          |
| 1.0449        | 0.0682 | 100  | 0.9752          |
| 0.9894        | 0.1023 | 150  | 0.8698          |
| 0.6199        | 0.1364 | 200  | 0.7913          |
| 0.5326        | 0.1704 | 250  | 0.7341          |
| 0.8109        | 0.2045 | 300  | 0.6799          |
| 0.7554        | 0.2386 | 350  | 0.6332          |
| 0.9877        | 0.2727 | 400  | 0.5993          |
| 0.3571        | 0.3068 | 450  | 0.5726          |
| 0.4539        | 0.3409 | 500  | 0.5439          |
| 0.464         | 0.3750 | 550  | 0.5147          |
| 0.4051        | 0.4091 | 600  | 0.4904          |
| 0.5371        | 0.4432 | 650  | 0.4732          |
| 0.4954        | 0.4772 | 700  | 0.4549          |
| 0.4594        | 0.5113 | 750  | 0.4399          |
| 0.4755        | 0.5454 | 800  | 0.4281          |
| 0.2948        | 0.5795 | 850  | 0.4118          |
| 0.3699        | 0.6136 | 900  | 0.4021          |
| 0.319         | 0.6477 | 950  | 0.3927          |
| 0.3359        | 0.6818 | 1000 | 0.3802          |
| 0.4056        | 0.7159 | 1050 | 0.3746          |
| 0.2975        | 0.7500 | 1100 | 0.3643          |
| 0.3868        | 0.7840 | 1150 | 0.3596          |
| 0.3485        | 0.8181 | 1200 | 0.3512          |
| 0.3546        | 0.8522 | 1250 | 0.3476          |
| 0.3697        | 0.8863 | 1300 | 0.3416          |
| 0.4056        | 0.9204 | 1350 | 0.3388          |
| 0.3189        | 0.9545 | 1400 | 0.3332          |
| 0.4173        | 0.9886 | 1450 | 0.3286          |
| 0.1779        | 1.0228 | 1500 | 0.3338          |
| 0.2877        | 1.0569 | 1550 | 0.3300          |
| 0.1506        | 1.0910 | 1600 | 0.3301          |
| 0.2075        | 1.1251 | 1650 | 0.3289          |
| 0.1956        | 1.1592 | 1700 | 0.3271          |
| 0.162         | 1.1933 | 1750 | 0.3276          |
| 0.2416        | 1.2274 | 1800 | 0.3228          |
| 0.2364        | 1.2615 | 1850 | 0.3243          |
| 0.1602        | 1.2956 | 1900 | 0.3219          |
| 0.1566        | 1.3296 | 1950 | 0.3211          |
| 0.1784        | 1.3637 | 2000 | 0.3215          |
| 0.1627        | 1.3978 | 2050 | 0.3190          |
| 0.1907        | 1.4319 | 2100 | 0.3183          |
| 0.1182        | 1.4660 | 2150 | 0.3183          |
| 0.1585        | 1.5001 | 2200 | 0.3179          |
| 0.2261        | 1.5342 | 2250 | 0.3158          |
| 0.1457        | 1.5683 | 2300 | 0.3150          |
| 0.2589        | 1.6024 | 2350 | 0.3146          |
| 0.2253        | 1.6364 | 2400 | 0.3144          |
| 0.1741        | 1.6705 | 2450 | 0.3143          |
| 0.1477        | 1.7046 | 2500 | 0.3141          |
| 0.1886        | 1.7387 | 2550 | 0.3141          |
| 0.2211        | 1.7728 | 2600 | 0.3139          |
| 0.238         | 1.8069 | 2650 | 0.3138          |
| 0.2863        | 1.8410 | 2700 | 0.3137          |
| 0.2603        | 1.8751 | 2750 | 0.3135          |
| 0.2484        | 1.9092 | 2800 | 0.3133          |
| 0.2343        | 1.9432 | 2850 | 0.3132          |
| 0.254         | 1.9773 | 2900 | 0.3132          |


### Framework versions

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