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refinement-finetuned-mnli-kaggle-2
mfreihaut/refinement-finetuned-mnli-kaggle-2
refinement-finetuned-mnli-kaggle-2 is a text classification model from mfreihaut. 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
- bart
- Access
- Public
- Created
- Oct 4, 2022
- Updated
- Oct 4, 2022
- SHA
- cdd0d48c
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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. -->
refinement-finetuned-mnli-kaggle-2
This model is a fine-tuned version of mfreihaut/refinement-finetuned-mnli-1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4099
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6157 | 1.0 | 12599 | 0.5321 |
| 0.5355 | 2.0 | 25198 | 0.6121 |
| 0.4084 | 3.0 | 37797 | 0.3938 |
| 0.4596 | 4.0 | 50396 | 0.3925 |
| 0.4625 | 5.0 | 62995 | 0.3928 |
| 0.4668 | 6.0 | 75594 | 0.3892 |
| 0.5054 | 7.0 | 88193 | 0.4097 |
| 0.4953 | 8.0 | 100792 | 0.4099 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.10.0
- Datasets 2.5.1
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- bart
- License
- mit
- Created
- Oct 4, 2022
- Updated
- Oct 4, 2022