---
library_name: transformers
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: llama_3b_step2_batch_v7
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# llama_3b_step2_batch_v7

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3371

## 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: 16
- eval_batch_size: 40
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.6252        | 0.2725 | 50   | 0.6565          |
| 0.5027        | 0.5450 | 100  | 0.4653          |
| 0.3997        | 0.8174 | 150  | 0.3908          |
| 0.2514        | 1.0899 | 200  | 0.3597          |
| 0.2616        | 1.3624 | 250  | 0.3475          |
| 0.2714        | 1.6349 | 300  | 0.3390          |
| 0.2247        | 1.9074 | 350  | 0.3371          |


### Framework versions

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