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mytuned_test_trainer-base-cased1
MrDdz/mytuned_test_trainer-base-cased1
mytuned_test_trainer-base-cased1 is a text classification model from MrDdz. Use it when you need a label for a piece of text. It is set up for transformers. 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
- transformers
- License
- mit
- Model type
- xlnet
- Access
- Public
- Created
- Jul 22, 2023
- Updated
- Jul 22, 2023
- SHA
- e10302c1
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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. -->
mytuned_test_trainer-base-cased1
This model is a fine-tuned version of xlnet-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.7836
- eval_rmse: 0.7145
- eval_runtime: 5.7466
- eval_samples_per_second: 348.03
- eval_steps_per_second: 43.504
- epoch: 3.27
- step: 1633
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- xlnet
- License
- mit
- Created
- Jul 22, 2023
- Updated
- Jul 22, 2023