gemma7b-summarize-claude3sonnet-2k
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: 6.6985
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 |
|---|---|---|---|
| 29.9207 | 1.0 | 5 | 14.4322 |
| 18.5488 | 2.0 | 10 | 10.5610 |
| 15.0605 | 3.0 | 15 | 8.2259 |
| 13.929 | 4.0 | 20 | 7.6256 |
| 13.2624 | 5.0 | 25 | 7.3464 |
| 12.6383 | 6.0 | 30 | 7.0769 |
| 11.963 | 7.0 | 35 | 6.8804 |
| 11.3592 | 8.0 | 40 | 6.7488 |
| 11.0502 | 9.0 | 45 | 6.7065 |
| 10.9441 | 10.0 | 50 | 6.6985 |
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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Model tree for llama-duo/gemma7b-summarize-claude3sonnet-2k
Base model
google/gemma-7b