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gemma-7b-10-dim
AndersGiovanni/gemma-7b-10-dim
gemma-7b-10-dim is a text classification model from AndersGiovanni. Use it when you need a label for a piece of text. It is set up for peft. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Mar 12, 2024
- Updated
- Mar 13, 2024
- SHA
- 72a8eca1
Try a prompt
Base models
Datasets
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. -->
gemma-7b
This model is a fine-tuned version of google/gemma-7b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4939
- Accuracy: 0.0806
- Precision: 0.4535
- Recall: 0.3826
- F1: 0.4150
- Hamming Loss: 0.2312
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: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.5.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- peft
- License
- mit
- Languages
- en
- Created
- Mar 12, 2024
- Updated
- Mar 13, 2024