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gemma-chat_QA-ViMMRC
Angelectronic/gemma-chat_QA-ViMMRC
gemma-chat_QA-ViMMRC is a machine learning model from Angelectronic. 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 transformers. The card lists the license as apache-2.0.
- Developed by: Angelectronic - License: apache-2.0 - Finetuned from model : unsloth/gemma-1.1-7b-it-bnb-4bit
Access
Public
Updated May 26, 2024
Repo size
200 MB
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Repo makeup
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At a glance
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- May 26, 2024
- Updated
- May 26, 2024
- SHA
- e0a7f161
Base models
Model card
From the Hugging Face model README
Uploaded model
- Developed by: Angelectronic
- License: apache-2.0
- Finetuned from model : unsloth/gemma-1.1-7b-it-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
Evaluation
- ViMMRC test set: 0.8348 accuracy
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 3407
- gradient_accumulation_steps: 4
- eval_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 5
- num_epochs: 3
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- transformers
- License
- apache-2.0
- Languages
- en
- Created
- May 26, 2024
- Updated
- May 26, 2024