metadata
library_name: transformers
license: gemma
base_model: google/gemma-2b
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: zephyr-7b-gemma-sft
results: []
zephyr-7b-gemma-sft
This model is a fine-tuned version of google/gemma-2b on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.3529
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 4
- total_eval_batch_size: 4
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.265 | 1.0 | 326 | 1.2147 |
| 0.8983 | 2.0 | 652 | 1.2119 |
| 0.7007 | 3.0 | 978 | 1.3529 |
Framework versions
- Transformers 4.46.0
- Pytorch 2.1.2
- Datasets 3.0.2
- Tokenizers 0.20.1