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e_care_COPA_bert_base_uncased_finetuned
Ariffiq99/e_care_COPA_bert_base_uncased_finetuned
e_care_COPA_bert_base_uncased_finetuned is a multiple choice model from Ariffiq99. 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. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- multiple choice
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jun 26, 2024
- Updated
- Jun 26, 2024
- SHA
- 60f51a73
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. -->
e_care_COPA_bert_base_uncased_finetuned
This model is a fine-tuned version of Ariffiq99/COPA_Bert_Base_Uncased_Finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7722
- F1: 0.7672
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: 1e-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 | F1 |
|---|---|---|---|---|
| 0.5556 | 1.0 | 933 | 0.4844 | 0.7540 |
| 0.3945 | 2.0 | 1866 | 0.5006 | 0.7611 |
| 0.2765 | 3.0 | 2799 | 0.5936 | 0.7705 |
| 0.1941 | 4.0 | 3732 | 0.6735 | 0.7667 |
| 0.1364 | 5.0 | 4665 | 0.7479 | 0.7663 |
| 0.1196 | 6.0 | 5598 | 0.7722 | 0.7672 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- multiple choice
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jun 26, 2024
- Updated
- Jun 26, 2024