---
library_name: transformers
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: llama_3b_step2_batch_v3
  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_v3

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3151

## 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: 4
- eval_batch_size: 40
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.8424        | 0.0682 | 50   | 0.9705          |
| 0.8978        | 0.1363 | 100  | 0.7915          |
| 0.5886        | 0.2045 | 150  | 0.6863          |
| 0.7013        | 0.2727 | 200  | 0.6097          |
| 0.4795        | 0.3408 | 250  | 0.5510          |
| 0.5601        | 0.4090 | 300  | 0.5066          |
| 0.4968        | 0.4772 | 350  | 0.4675          |
| 0.3663        | 0.5453 | 400  | 0.4353          |
| 0.3754        | 0.6135 | 450  | 0.4074          |
| 0.3271        | 0.6817 | 500  | 0.3890          |
| 0.2731        | 0.7498 | 550  | 0.3744          |
| 0.3881        | 0.8180 | 600  | 0.3599          |
| 0.3295        | 0.8862 | 650  | 0.3489          |
| 0.3408        | 0.9543 | 700  | 0.3412          |
| 0.2966        | 1.0225 | 750  | 0.3418          |
| 0.2334        | 1.0907 | 800  | 0.3365          |
| 0.2457        | 1.1588 | 850  | 0.3321          |
| 0.2332        | 1.2270 | 900  | 0.3311          |
| 0.2279        | 1.2952 | 950  | 0.3285          |
| 0.2762        | 1.3633 | 1000 | 0.3245          |
| 0.1464        | 1.4315 | 1050 | 0.3233          |
| 0.2075        | 1.4997 | 1100 | 0.3211          |
| 0.2251        | 1.5678 | 1150 | 0.3184          |
| 0.1811        | 1.6360 | 1200 | 0.3167          |
| 0.2104        | 1.7042 | 1250 | 0.3164          |
| 0.224         | 1.7723 | 1300 | 0.3158          |
| 0.2483        | 1.8405 | 1350 | 0.3154          |
| 0.1773        | 1.9087 | 1400 | 0.3151          |
| 0.219         | 1.9768 | 1450 | 0.3151          |


### Framework versions

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