generated_from_trainer base_model:DevaMalla/llama7b region:us
---
base_model: DevaMalla/llama7b
tags:
- generated_from_trainer
model-index:
- name: llama_7b_qlora_pds-eval-test
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# llama_7b_qlora_pds-eval-test

This model is a fine-tuned version of [DevaMalla/llama7b](https://huggingface.co/DevaMalla/llama7b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0622

## 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: 0.0002
- train_batch_size: 40
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6779        | 0.09  | 5    | 1.5894          |
| 1.5194        | 0.19  | 10   | 1.4528          |
| 1.3984        | 0.28  | 15   | 1.3331          |
| 1.2809        | 0.37  | 20   | 1.2312          |
| 1.1953        | 0.46  | 25   | 1.1674          |
| 1.1197        | 0.56  | 30   | 1.1217          |
| 1.0967        | 0.65  | 35   | 1.0921          |
| 1.0739        | 0.74  | 40   | 1.0756          |
| 1.0613        | 0.83  | 45   | 1.0672          |
| 1.0578        | 0.93  | 50   | 1.0633          |


### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.0
- Datasets 2.12.0
- Tokenizers 0.13.3
