zephyr-7b-math-train-test
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the EunsuKim/MATH dataset. It achieves the following results on the evaluation set:
- Loss: 0.0130
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: 16
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 64
- 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: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.746 | 1.0 | 10 | 0.6231 |
| 0.5258 | 2.0 | 20 | 0.3843 |
| 0.3183 | 3.0 | 30 | 0.1999 |
| 0.16 | 4.0 | 40 | 0.0864 |
| 0.0811 | 5.0 | 50 | 0.0496 |
| 0.0502 | 6.0 | 60 | 0.0345 |
| 0.035 | 7.0 | 70 | 0.0254 |
| 0.0241 | 8.0 | 80 | 0.0185 |
| 0.0165 | 9.0 | 90 | 0.0142 |
| 0.0129 | 10.0 | 100 | 0.0130 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu124
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for scottsuk0306/zephyr-7b-math-train-test
Base model
mistralai/Mistral-7B-v0.1
Finetuned
alignment-handbook/zephyr-7b-sft-full