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twitter-data-xlm-roberta-base-hindi-only-memes
SiddharthaM/twitter-data-xlm-roberta-base-hindi-only-memes
twitter-data-xlm-roberta-base-hindi-only-memes is a text classification model from SiddharthaM. 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
- xlm-roberta
- Access
- Public
- Created
- Nov 1, 2022
- Updated
- Nov 1, 2022
- SHA
- 8c21c324
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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. -->
twitter-data-xlm-roberta-base-hindi-only-memes
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4006
- Accuracy: 0.9240
- Precision: 0.9255
- Recall: 0.9263
- F1: 0.9259
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.7485 | 1.0 | 511 | 0.4062 | 0.8381 | 0.8520 | 0.8422 | 0.8417 |
| 0.4253 | 2.0 | 1022 | 0.3195 | 0.8822 | 0.8880 | 0.8853 | 0.8851 |
| 0.2899 | 3.0 | 1533 | 0.2994 | 0.9031 | 0.9068 | 0.9060 | 0.9049 |
| 0.2116 | 4.0 | 2044 | 0.3526 | 0.9163 | 0.9199 | 0.9185 | 0.9187 |
| 0.1582 | 5.0 | 2555 | 0.4031 | 0.9163 | 0.9193 | 0.9186 | 0.9187 |
| 0.103 | 6.0 | 3066 | 0.4006 | 0.9240 | 0.9255 | 0.9263 | 0.9259 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Nov 1, 2022
- Updated
- Nov 1, 2022