metadata
license: gemma
library_name: peft
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
base_model: google/gemma-2b
datasets:
- llama-duo/synth_summarize_dataset_dedup
model-index:
- name: gemma2b-summarize-gpt4o-128k
results: []
gemma2b-summarize-gpt4o-128k
This model is a fine-tuned version of google/gemma-2b on the llama-duo/synth_summarize_dataset_dedup dataset. It achieves the following results on the evaluation set:
- Loss: 2.7978
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 |
|---|---|---|---|
| 1.1249 | 1.0 | 293 | 2.4641 |
| 1.0415 | 2.0 | 586 | 2.4514 |
| 0.9915 | 3.0 | 879 | 2.4750 |
| 0.9551 | 4.0 | 1172 | 2.5292 |
| 0.9287 | 5.0 | 1465 | 2.5925 |
| 0.8733 | 6.0 | 1758 | 2.6555 |
| 0.8577 | 7.0 | 2051 | 2.7316 |
| 0.8364 | 8.0 | 2344 | 2.7742 |
| 0.8311 | 9.0 | 2637 | 2.7971 |
| 0.8243 | 10.0 | 2930 | 2.7978 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1