gemma2b-summarize-claude3sonnet
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gemma2b-summarize-claude3sonnet-1k
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: 2.6123
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 |
|---|---|---|---|
| 2.755 | 0.8571 | 3 | 3.1059 |
| 2.6986 | 2.0 | 7 | 2.8356 |
| 2.2478 | 2.8571 | 10 | 2.7310 |
| 2.2478 | 4.0 | 14 | 2.6773 |
| 1.9892 | 4.8571 | 17 | 2.6487 |
| 1.8401 | 6.0 | 21 | 2.6184 |
| 1.8401 | 6.8571 | 24 | 2.6133 |
| 1.7508 | 8.0 | 28 | 2.6098 |
| 1.7163 | 8.5714 | 30 | 2.6123 |
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-1k
Base model
google/gemma-2b