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results
gigascake/results
results is a machine learning model from gigascake. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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.safetensors443 MB · 100%
At a glance
- Model type
- roberta
- Access
- Public
- Created
- Sep 24, 2024
- Updated
- Oct 26, 2024
- SHA
- 0b54eb47
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. -->
results
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4734
- Accuracy: 0.865
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
Framework versions
- Transformers 4.40.1
- Pytorch 2.5.0+cu124
- Datasets 2.19.0
- Tokenizers 0.19.1
- Type
- roberta
- Created
- Sep 24, 2024
- Updated
- Oct 26, 2024