peft safetensors generated_from_trainer base_model:HuggingFaceH4/zephyr-7b-beta license:mit region:us
---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: HuggingFaceH4/zephyr-7b-beta
model-index:
- name: zephyr-7b-b-cosmosqa-ptbr-text-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. -->

# zephyr-7b-b-cosmosqa-ptbr-text-v3

This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0961

## 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: 4e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4897        | 0.13  | 100  | 1.1561          |
| 1.1452        | 0.25  | 200  | 1.1251          |
| 1.1185        | 0.38  | 300  | 1.1146          |
| 1.1079        | 0.51  | 400  | 1.1038          |
| 1.0906        | 0.63  | 500  | 1.0998          |
| 1.0849        | 0.76  | 600  | 1.0967          |
| 1.0721        | 0.89  | 700  | 1.0959          |
| 1.0623        | 1.01  | 800  | 1.0941          |
| 1.0217        | 1.14  | 900  | 1.0987          |
| 1.0122        | 1.27  | 1000 | 1.0977          |
| 1.0095        | 1.39  | 1100 | 1.0980          |
| 1.0088        | 1.52  | 1200 | 1.0966          |
| 0.9952        | 1.65  | 1300 | 1.0964          |
| 1.0018        | 1.77  | 1400 | 1.0967          |
| 0.9991        | 1.9   | 1500 | 1.0961          |


### Framework versions

- PEFT 0.7.1.dev0
- Transformers 4.36.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.7
- Tokenizers 0.15.0