metadata
license: gemma
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: google/gemma-2b
datasets:
- generator
model-index:
- name: gemma2b-summarize-gpt4o-1k
results: []
gemma2b-summarize-gpt4o-1k
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: 2.7415
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- gradient_accumulation_steps: 2
- total_train_batch_size: 48
- total_eval_batch_size: 24
- 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 |
|---|---|---|---|
| 2.9975 | 0.8 | 2 | 3.1990 |
| 2.8744 | 2.0 | 5 | 3.0048 |
| 2.8744 | 2.8 | 7 | 2.8992 |
| 2.3833 | 4.0 | 10 | 2.8237 |
| 2.3833 | 4.8 | 12 | 2.7889 |
| 2.1436 | 6.0 | 15 | 2.7588 |
| 2.1436 | 6.8 | 17 | 2.7501 |
| 2.0522 | 8.0 | 20 | 2.7415 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1