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SA-tweet-roberta-large-e12-w1-2.5
YanJiangJerry/SA-tweet-roberta-large-e12-w1-2.5
SA-tweet-roberta-large-e12-w1-2.5 is a text classification model from YanJiangJerry. 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
- roberta
- Access
- Public
- Created
- Jul 12, 2023
- Updated
- Jul 12, 2023
- SHA
- fb4aef08
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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. -->
SA-tweet-roberta-large-e12-w1-2.5
This model is a fine-tuned version of Amalq/autotrain-smm4h_large_roberta_clean-874027878 on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.6409
- eval_accuracy: 0.928
- eval_f1: 0.9365
- eval_precision: 0.9316
- eval_recall: 0.9415
- eval_runtime: 52.3038
- eval_samples_per_second: 19.119
- eval_steps_per_second: 4.78
- epoch: 11.0
- step: 13343
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: 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: 12
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Jul 12, 2023
- Updated
- Jul 12, 2023