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DistilBERTFINAL_ctxSentence_TRAIN_editorials_TEST_NULL_second_train_set_null_False
ali2066/DistilBERTFINAL_ctxSentence_TRAIN_editorials_TEST_NULL_second_train_set_null_False
DistilBERTFINAL_ctxSentence_TRAIN_editorials_TEST_NULL_second_train_set_null_False is a text classification model from ali2066. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- May 2, 2022
- Updated
- May 2, 2022
- SHA
- 26f6448d
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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. -->
DistilBERTFINAL_ctxSentence_TRAIN_editorials_TEST_NULL_second_train_set_null_False
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.4527
- Precision: 0.2844
- Recall: 0.9676
- F1: 0.4395
- Accuracy: 0.2991
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 166 | 0.1044 | 0.9742 | 1.0 | 0.9869 | 0.9742 |
| No log | 2.0 | 332 | 0.1269 | 0.9742 | 1.0 | 0.9869 | 0.9742 |
| No log | 3.0 | 498 | 0.1028 | 0.9742 | 1.0 | 0.9869 | 0.9742 |
| 0.0947 | 4.0 | 664 | 0.0836 | 0.9826 | 0.9971 | 0.9898 | 0.9799 |
| 0.0947 | 5.0 | 830 | 0.0884 | 0.9854 | 0.9912 | 0.9883 | 0.9771 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.1+cu113
- Datasets 1.18.0
- Tokenizers 0.10.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- May 2, 2022
- Updated
- May 2, 2022