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afro-xlmr-large-kinte-domain-kinte-task-unkin-sent2
RogerB/afro-xlmr-large-kinte-domain-kinte-task-unkin-sent2
afro-xlmr-large-kinte-domain-kinte-task-unkin-sent2 is a text classification model from RogerB. 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
- Oct 11, 2023
- Updated
- Oct 12, 2023
- SHA
- ee9e10b4
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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. -->
afro-xlmr-large-kinte-domain-kinte-task-unkin-sent2
This model is a fine-tuned version of RogerB/afro-xlmr-large-kinte-domain-kinte-task on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8639
- F1: 0.7066
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-06
- 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.8951 | 1.0 | 1013 | 0.6552 | 0.7338 |
| 0.7267 | 2.0 | 2026 | 0.5308 | 0.8014 |
| 0.6127 | 3.0 | 3039 | 0.5082 | 0.8246 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Oct 11, 2023
- Updated
- Oct 12, 2023