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gemma-9b-it-v1
hhyun/gemma-9b-it-v1
gemma-9b-it-v1 is a machine learning model from hhyun. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- other
- Model type
- gemma2
- Access
- Public
- Created
- Aug 22, 2024
- Updated
- Aug 22, 2024
- SHA
- 96de97bf
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. -->
sft
This model is a fine-tuned version of google/gemma-2-9b-it on the tax_qna_data_income_only dataset. It achieves the following results on the evaluation set:
- Loss: 1.1982
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: 2e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
Framework versions
- Transformers 4.44.0
- Pytorch 2.2.0a0+81ea7a4
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- gemma2
- License
- other
- Created
- Aug 22, 2024
- Updated
- Aug 22, 2024