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-256k
results: []
gemma2b-summarize-gpt4o-256k
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: 2.5990
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: 4
- total_train_batch_size: 96
- 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 |
|---|---|---|---|
| 1.1174 | 0.9974 | 292 | 2.4482 |
| 1.0252 | 1.9983 | 585 | 2.4514 |
| 0.988 | 2.9991 | 878 | 2.4683 |
| 0.9741 | 4.0 | 1171 | 2.5000 |
| 0.9342 | 4.9974 | 1463 | 2.5203 |
| 0.9201 | 5.9983 | 1756 | 2.5519 |
| 0.9054 | 6.9991 | 2049 | 2.5763 |
| 0.8902 | 8.0 | 2342 | 2.5922 |
| 0.8818 | 8.9974 | 2634 | 2.5982 |
| 0.8852 | 9.9744 | 2920 | 2.5990 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1