peft safetensors generated_from_trainer pt dataset:heloisy/cosmos_qa_ptbr_text 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-cosmosqa-ptbr_text
  results: []
datasets:
- heloisy/cosmos_qa_ptbr_text
language:
- pt
---

<!-- 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-cosmosqa-ptbr_text

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: 1.0951

## 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: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 1000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4903        | 0.13  | 100  | 1.1563          |
| 1.1453        | 0.25  | 200  | 1.1254          |
| 1.1192        | 0.38  | 300  | 1.1149          |
| 1.109         | 0.51  | 400  | 1.1045          |
| 1.0927        | 0.63  | 500  | 1.1003          |
| 1.0883        | 0.76  | 600  | 1.0971          |
| 1.077         | 0.89  | 700  | 1.0955          |
| 1.0694        | 1.01  | 800  | 1.0934          |
| 1.0377        | 1.14  | 900  | 1.0958          |
| 1.03          | 1.27  | 1000 | 1.0951          |


### 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