zephyr-7b-math-case-8-fixed
This model is a fine-tuned version of 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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Model tree for scottsuk0306/zephyr-7b-math-case-8-fixed
Base model
mistralai/Mistral-7B-v0.1
Finetuned
alignment-handbook/zephyr-7b-sft-full