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xlm-roberta-base-finetuned-panx-en-fr
Neha2608/xlm-roberta-base-finetuned-panx-en-fr
xlm-roberta-base-finetuned-panx-en-fr is a machine learning model from Neha2608. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Jul 30, 2022
- Updated
- Jul 31, 2022
- SHA
- 66bec7c5
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. -->
xlm-roberta-base-finetuned-panx-en-fr
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: 0.2992
- F1: 0.8056
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: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.5794 | 1.0 | 240 | 0.3464 | 0.7607 |
| 0.2819 | 2.0 | 480 | 0.2992 | 0.8056 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.12.0+cu113
- Datasets 1.16.1
- Tokenizers 0.10.3
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Jul 30, 2022
- Updated
- Jul 31, 2022