metadata
library_name: transformers
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: zephyr-7b-math-test
results: []
zephyr-7b-math-test
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.0178
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 |
|---|---|---|---|
| 0.8684 | 1.0 | 5 | 0.7914 |
| 0.7031 | 2.0 | 10 | 0.5349 |
| 0.4888 | 3.0 | 15 | 0.3412 |
| 0.302 | 4.0 | 20 | 0.1902 |
| 0.1643 | 5.0 | 25 | 0.0890 |
| 0.0778 | 6.0 | 30 | 0.0416 |
| 0.0404 | 7.0 | 35 | 0.0280 |
| 0.0279 | 8.0 | 40 | 0.0219 |
| 0.0214 | 9.0 | 45 | 0.0186 |
| 0.0183 | 10.0 | 50 | 0.0178 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu124
- Datasets 2.21.0
- Tokenizers 0.19.1