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DistilBERT_FINAL_ctxSentence_TRAIN_all_TEST_NULL_second_train_set_null_False
ali2066/DistilBERT_FINAL_ctxSentence_TRAIN_all_TEST_NULL_second_train_set_null_False
DistilBERT_FINAL_ctxSentence_TRAIN_all_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. 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
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- May 2, 2022
- Updated
- May 2, 2022
- SHA
- c3b8e253
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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. -->
DistilBERT_FINAL_ctxSentence_TRAIN_all_TEST_NULL_second_train_set_null_False
This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0699
- Precision: 0.9942
- Recall: 0.9773
- F1: 0.9857
- Accuracy: 0.9725
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 | 479 | 0.4036 | 0.8333 | 0.9326 | 0.8802 | 0.8054 |
| 0.5047 | 2.0 | 958 | 0.3749 | 0.8635 | 0.9339 | 0.8973 | 0.8361 |
| 0.3336 | 3.0 | 1437 | 0.3789 | 0.8862 | 0.9184 | 0.9020 | 0.8471 |
| 0.2644 | 4.0 | 1916 | 0.4024 | 0.8762 | 0.9171 | 0.8962 | 0.8371 |
| 0.2233 | 5.0 | 2395 | 0.4195 | 0.8784 | 0.9171 | 0.8973 | 0.8391 |
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
- distilbert
- License
- apache-2.0
- Created
- May 2, 2022
- Updated
- May 2, 2022