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n0tv1cky/output
output is a machine learning model from n0tv1cky. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Aug 26, 2024
- Updated
- Oct 21, 2024
- SHA
- 5f0a3be4
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. -->
output
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7458
- Memory Allocated (gb): 2.37
- Max Memory Allocated (gb): 2.78
- Total Memory Available (gb): 94.62
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-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
- lr_scheduler_type: reduce_lr_on_plateau
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4
Training results
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.1a0+git4989238
- Datasets 2.19.1
- Tokenizers 0.19.1
- Type
- bert
- License
- apache-2.0
- Created
- Aug 26, 2024
- Updated
- Oct 21, 2024