gemma2b-summarize-claude3sonnet
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gemma2b-summarize-claude3sonnet-16k
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: 2.5454
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 |
|---|---|---|---|
| 1.4889 | 1.0 | 51 | 2.5875 |
| 1.1695 | 2.0 | 102 | 2.5044 |
| 1.1003 | 3.0 | 153 | 2.5000 |
| 1.0537 | 4.0 | 204 | 2.5040 |
| 1.0131 | 5.0 | 255 | 2.5131 |
| 0.995 | 6.0 | 306 | 2.5208 |
| 0.9739 | 7.0 | 357 | 2.5337 |
| 0.9626 | 8.0 | 408 | 2.5445 |
| 0.9572 | 9.0 | 459 | 2.5443 |
| 0.9554 | 10.0 | 510 | 2.5454 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.2+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for llama-duo/gemma2b-summarize-claude3sonnet-16k
Base model
google/gemma-2b