metadata
license: gemma
library_name: peft
tags:
- trl
- sft
- alignment-handbook
- generated_from_trainer
base_model: google/gemma-2b
datasets:
- generator
model-index:
- name: gemma2b-summarize-gpt4o-64k
results: []
gemma2b-summarize-gpt4o-64k
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: 2.6852
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: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- gradient_accumulation_steps: 2
- total_train_batch_size: 96
- total_eval_batch_size: 48
- 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 |
|---|---|---|---|
| 1.2474 | 1.0 | 146 | 2.5237 |
| 1.1269 | 2.0 | 292 | 2.4805 |
| 1.0909 | 3.0 | 438 | 2.4893 |
| 1.0354 | 4.0 | 584 | 2.5017 |
| 1.0016 | 5.0 | 730 | 2.5295 |
| 0.9823 | 6.0 | 876 | 2.5500 |
| 0.955 | 7.0 | 1022 | 2.5866 |
| 0.9214 | 8.0 | 1168 | 2.6224 |
| 0.913 | 9.0 | 1314 | 2.6512 |
| 0.889 | 10.0 | 1460 | 2.6852 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1