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language-fine-tuning-from-scratch
Tural/language-fine-tuning-from-scratch
language-fine-tuning-from-scratch is a text classification model from Tural. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Oct 9, 2023
- Updated
- Oct 9, 2023
- SHA
- 00491d80
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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. -->
language-fine-tuning-from-scratch
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 3.7731
- eval_accuracy: 0.543
- eval_runtime: 3.9209
- eval_samples_per_second: 255.042
- eval_steps_per_second: 4.081
- epoch: 17.0
- step: 544
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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.0
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Oct 9, 2023
- Updated
- Oct 9, 2023