gemma7b-summarize-gemini1_5flash-4k
This model is a fine-tuned version of google/gemma-7b on the llama-duo/synth_summarize_dataset_dedup dataset. It achieves the following results on the evaluation set:
- Loss: 6.0056
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: 4
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 16
- 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 |
|---|---|---|---|
| 45.0263 | 1.0 | 7 | 13.7531 |
| 26.2686 | 2.0 | 14 | 8.7768 |
| 19.4522 | 3.0 | 21 | 7.7116 |
| 17.9837 | 4.0 | 28 | 7.1805 |
| 14.7187 | 5.0 | 35 | 7.0784 |
| 12.1795 | 6.0 | 42 | 7.0367 |
| 9.1407 | 7.0 | 49 | 6.5706 |
| 5.133 | 8.0 | 56 | 6.1854 |
| 4.2385 | 9.0 | 63 | 6.0276 |
| 3.8163 | 10.0 | 70 | 6.0056 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1
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Base model
google/gemma-7b