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results
Rudra03/results
results is a text classification model from Rudra03. 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
- Jun 12, 2024
- Updated
- Jul 9, 2024
- SHA
- 4aead421
Try a prompt
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. -->
results
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: 0.4940
- Accuracy: 0.8385
- F1: 0.8077
- Precision: 0.8153
- Recall: 0.8031
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 450 | 0.4685 | 0.8298 | 0.7926 | 0.8134 | 0.7767 |
| 0.525 | 2.0 | 900 | 0.4455 | 0.8398 | 0.8083 | 0.8130 | 0.8055 |
| 0.3359 | 3.0 | 1350 | 0.4940 | 0.8385 | 0.8077 | 0.8153 | 0.8031 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jun 12, 2024
- Updated
- Jul 9, 2024