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---
library_name: transformers
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- EunsuKim/GSM8K
model-index:
- name: zephyr-7b-math-case-8-fixed
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-math-case-8-fixed
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the EunsuKim/GSM8K dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0279
## 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0201 | 1.0 | 4 | 0.8702 |
| 0.9576 | 2.0 | 8 | 0.6513 |
| 0.7027 | 3.0 | 12 | 0.4668 |
| 0.4836 | 4.0 | 16 | 0.2752 |
| 0.2544 | 5.0 | 20 | 0.1434 |
| 0.2544 | 6.0 | 24 | 0.0726 |
| 0.109 | 7.0 | 28 | 0.0441 |
| 0.0544 | 8.0 | 32 | 0.0341 |
| 0.0364 | 9.0 | 36 | 0.0290 |
| 0.0289 | 10.0 | 40 | 0.0279 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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