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deberta-v3-base-rotten-tomatoes
marcelomoreno26/deberta-v3-base-rotten-tomatoes
deberta-v3-base-rotten-tomatoes is a text classification model from marcelomoreno26. 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
- deberta-v2
- Access
- Public
- Created
- Mar 27, 2024
- Updated
- Apr 1, 2024
- SHA
- 4013b089
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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. -->
deberta-v3-base-rotten-tomatoes-hp2
This model is a fine-tuned version of microsoft/deberta-v3-base on the rotten_tomatoes dataset. It achieves the following results on the evaluation set:
- Loss: 0.2619
- F1: 0.9184
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: 7.5e-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 267 | 0.2430 | 0.9146 |
| 0.3091 | 2.0 | 534 | 0.2499 | 0.9156 |
| 0.3091 | 3.0 | 801 | 0.2829 | 0.9174 |
| 0.1496 | 4.0 | 1068 | 0.2742 | 0.9137 |
| 0.1496 | 5.0 | 1335 | 0.3845 | 0.9099 |
| 0.0864 | 6.0 | 1602 | 0.4254 | 0.9024 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Mar 27, 2024
- Updated
- Apr 1, 2024