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gemma2b-summarize-gemini1_5flash-64k
llama-duo/gemma2b-summarize-gemini1_5flash-64k
gemma2b-summarize-gemini1_5flash-64k 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 10, 2024
- SHA
- f8320e90
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-gemini1_5flash-64k
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: 2.5322
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: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 64
- 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 |
|---|---|---|---|
| 1.2288 | 0.9905 | 52 | 2.5091 |
| 1.0492 | 2.0 | 105 | 2.4525 |
| 1.0025 | 2.9905 | 157 | 2.4599 |
| 0.9597 | 4.0 | 210 | 2.4714 |
| 0.9394 | 4.9905 | 262 | 2.4863 |
| 0.912 | 6.0 | 315 | 2.5085 |
| 0.8901 | 6.9905 | 367 | 2.5172 |
| 0.8887 | 8.0 | 420 | 2.5294 |
| 0.8816 | 8.9905 | 472 | 2.5311 |
| 0.8797 | 9.9048 | 520 | 2.5322 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Library
- peft
- Type
- gemma
- License
- gemma
- Created
- Jun 5, 2024
- Updated
- Jun 10, 2024