---
base_model: hllj/zephyr-7b-beta-vi-math
tags:
- generated_from_trainer
model-index:
- name: sft-zephyr-7b-beta-vi-math-v1
  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. -->

# sft-zephyr-7b-beta-vi-math-v1

This model is a fine-tuned version of [hllj/zephyr-7b-beta-vi-math](https://huggingface.co/hllj/zephyr-7b-beta-vi-math) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3126

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6242        | 0.19  | 50   | 0.5210          |
| 0.3986        | 0.37  | 100  | 0.3655          |
| 0.3664        | 1.06  | 150  | 0.3358          |
| 0.3395        | 1.24  | 200  | 0.3293          |
| 0.3323        | 1.43  | 250  | 0.3206          |
| 0.3149        | 2.11  | 300  | 0.3177          |
| 0.3076        | 2.3   | 350  | 0.3153          |
| 0.3207        | 2.48  | 400  | 0.3130          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0
- Datasets 2.15.0
- Tokenizers 0.15.0