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---
base_model: hllj/zephyr-7b-beta-vi-math
tags:
- generated_from_trainer
model-index:
- name: sft-zephyr-7b-beta-v2
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-v2
This model is a fine-tuned version of [hllj/zephyr-7b-beta-vi-math](https://huggingface.co/hllj/zephyr-7b-beta-vi-math) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4432
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3943 | 0.35 | 500 | 0.4903 |
| 0.3796 | 0.69 | 1000 | 0.4698 |
| 0.353 | 1.04 | 1500 | 0.4521 |
| 0.3173 | 1.39 | 2000 | 0.4463 |
| 0.3276 | 1.73 | 2500 | 0.4431 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0
- Datasets 2.15.0
- Tokenizers 0.15.0
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