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Gemma-Final
Aharneish/Gemma-Final
Gemma-Final is a machine learning model from Aharneish. 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 other.
should probably proofread and complete it, then remove this comment. --
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Repo size
73.2 MB
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.json17.5 MB · 51%
At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- Mar 6, 2024
- Updated
- Mar 6, 2024
- SHA
- 51de1f4d
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. -->
gemma-sprit-test
This model is a fine-tuned version of google/gemma-7b on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 3.3436
- eval_runtime: 210.5944
- eval_samples_per_second: 0.95
- eval_steps_per_second: 0.237
- epoch: 0.81
- step: 1500
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Framework versions
- PEFT 0.9.0
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.15.2
- Library
- peft
- License
- other
- Created
- Mar 6, 2024
- Updated
- Mar 6, 2024