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word_sense_mchoice_w_d_c
rls-telefonica/word_sense_mchoice_w_d_c
word_sense_mchoice_w_d_c is a multiple choice model from rls-telefonica. Use it for the multiple choice task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- multiple choice
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Dec 1, 2022
- Updated
- Dec 1, 2022
- SHA
- aa9f9dec
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. -->
word_sense_mchoice_w_d_c
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8885
- Accuracy: 0.8210
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6904 | 1.0 | 531 | 0.5099 | 0.7913 |
| 0.2393 | 2.0 | 1062 | 0.6351 | 0.8202 |
| 0.0842 | 3.0 | 1593 | 0.8885 | 0.8210 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- multiple choice
- Library
- transformers
- Type
- bert
- Created
- Dec 1, 2022
- Updated
- Dec 1, 2022