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tweet_bert_1408
dsmsb/tweet_bert_1408
tweet_bert_1408 is a text classification model from dsmsb. Use it when you need a label for a piece of text. It is set up for transformers. 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
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Aug 14, 2023
- Updated
- Aug 14, 2023
- SHA
- db0432db
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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. -->
tweet_bert_1408
This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7067
- Accuracy: 0.8477
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 397 | 0.7847 | 0.8363 |
| 0.2479 | 2.0 | 794 | 0.6668 | 0.8422 |
| 0.2971 | 3.0 | 1191 | 0.6221 | 0.8481 |
| 0.2087 | 4.0 | 1588 | 0.6557 | 0.8488 |
| 0.2087 | 5.0 | 1985 | 0.7067 | 0.8477 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Aug 14, 2023
- Updated
- Aug 14, 2023