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gemma2b-summarize-claude3sonnet-256k
llama-duo/gemma2b-summarize-claude3sonnet-256k
gemma2b-summarize-claude3sonnet-256k is a machine learning model from llama-duo. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as gemma.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- gemma
- Model type
- gemma
- Access
- Public
- Created
- Jun 5, 2024
- Updated
- Jun 11, 2024
- SHA
- 9b093cc1
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
gemma2b-summarize-claude3sonnet-256k
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: 2.6999
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 |
|---|---|---|---|
| 0.9714 | 0.9994 | 808 | 2.4535 |
| 0.8916 | 2.0 | 1617 | 2.4785 |
| 0.8752 | 2.9994 | 2425 | 2.5144 |
| 0.8424 | 4.0 | 3234 | 2.5590 |
| 0.8173 | 4.9994 | 4042 | 2.6021 |
| 0.7949 | 6.0 | 4851 | 2.6446 |
| 0.7732 | 6.9994 | 5659 | 2.6786 |
| 0.7605 | 8.0 | 6468 | 2.6913 |
| 0.7532 | 8.9994 | 7276 | 2.6995 |
| 0.7647 | 9.9938 | 8080 | 2.6999 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.2.2+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- Type
- gemma
- License
- gemma
- Created
- Jun 5, 2024
- Updated
- Jun 11, 2024