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-claude3sonnet-64k
results: []
gemma2b-summarize-claude3sonnet-64k
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: 2.6980
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 |
|---|---|---|---|
| 1.0668 | 0.9975 | 200 | 2.4713 |
| 0.9846 | 2.0 | 401 | 2.4650 |
| 0.941 | 2.9975 | 601 | 2.4875 |
| 0.8872 | 4.0 | 802 | 2.5213 |
| 0.8497 | 4.9975 | 1002 | 2.5719 |
| 0.8085 | 6.0 | 1203 | 2.6190 |
| 0.7905 | 6.9975 | 1403 | 2.6576 |
| 0.7684 | 8.0 | 1604 | 2.6892 |
| 0.7564 | 8.9975 | 1804 | 2.6970 |
| 0.747 | 9.9751 | 2000 | 2.6980 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.2.2+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1