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finetuned-base_small
muhtasham/finetuned-base_small
finetuned-base_small is a text classification model from muhtasham. 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
- bert
- Access
- Public
- Created
- Dec 2, 2022
- Updated
- Dec 2, 2022
- SHA
- 1e4c567c
Try a prompt
Datasets
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. -->
finetuned-base_small
This model is a fine-tuned version of google/bert_uncased_L-4_H-512_A-8 on the imdb dataset. It achieves the following results on the evaluation set:
- Loss: 0.3962
- Accuracy: 0.8942
- F1: 0.9441
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: 3e-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: constant
- num_epochs: 200
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.3459 | 0.64 | 500 | 0.1283 | 0.9505 | 0.9746 |
| 0.2389 | 1.28 | 1000 | 0.1054 | 0.9595 | 0.9793 |
| 0.1927 | 1.92 | 1500 | 0.1447 | 0.9457 | 0.9721 |
| 0.1408 | 2.56 | 2000 | 0.1261 | 0.9594 | 0.9793 |
| 0.1168 | 3.2 | 2500 | 0.3962 | 0.8942 | 0.9441 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Dec 2, 2022
- Updated
- Dec 2, 2022