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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/MATH
- EunsuKim/GSM8K
model-index:
- name: zephyr-7b-math-case-4
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-4
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/MATH and the EunsuKim/GSM8K datasets.
It achieves the following results on the evaluation set:
- Loss: 0.0151
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9831 | 1.0 | 9 | 0.6522 |
| 0.601 | 2.0 | 18 | 0.4056 |
| 0.3464 | 3.0 | 27 | 0.1887 |
| 0.1559 | 4.0 | 36 | 0.0765 |
| 0.0714 | 5.0 | 45 | 0.0478 |
| 0.0477 | 6.0 | 54 | 0.0351 |
| 0.0345 | 7.0 | 63 | 0.0256 |
| 0.0252 | 8.0 | 72 | 0.0192 |
| 0.0181 | 9.0 | 81 | 0.0158 |
| 0.0153 | 10.0 | 90 | 0.0151 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
|