transformers safetensors mistral text-generation generated_from_trainer conversational base_model:BaoLocTown/zephyr-7b-beta-vi-math-v2 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
base_model: BaoLocTown/zephyr-7b-beta-vi-math-v2
tags:
- generated_from_trainer
model-index:
- name: sft-zephyr-7b-beta-v3
  results: []
---

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# sft-zephyr-7b-beta-v3

This model is a fine-tuned version of [BaoLocTown/zephyr-7b-beta-vi-math-v2](https://huggingface.co/BaoLocTown/zephyr-7b-beta-vi-math-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4453

## 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: 5e-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: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3985        | 0.35  | 500  | 0.4894          |
| 0.3746        | 0.69  | 1000 | 0.4715          |
| 0.3551        | 1.04  | 1500 | 0.4562          |
| 0.3165        | 1.39  | 2000 | 0.4504          |
| 0.3256        | 1.73  | 2500 | 0.4453          |


### Framework versions

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