Downloads · 30 days
9
2% of all-time downloads
medium-mlm-tweet-target-imdb
muhtasham/medium-mlm-tweet-target-imdb
medium-mlm-tweet-target-imdb 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. --
All-time downloads
454
Public
Repo size
1.8 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin166 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Dec 11, 2022
- Updated
- Dec 11, 2022
- SHA
- 3b8c8716
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. -->
medium-mlm-tweet-target-imdb
This model is a fine-tuned version of muhtasham/medium-mlm-tweet on the imdb dataset. It achieves the following results on the evaluation set:
- Loss: 0.3691
- Accuracy: 0.9363
- F1: 0.9671
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 |
|---|---|---|---|---|---|
| 0.3135 | 0.64 | 500 | 0.2323 | 0.9056 | 0.9505 |
| 0.2094 | 1.28 | 1000 | 0.2166 | 0.9187 | 0.9576 |
| 0.1622 | 1.92 | 1500 | 0.2011 | 0.9206 | 0.9587 |
| 0.112 | 2.56 | 2000 | 0.3647 | 0.9032 | 0.9491 |
| 0.093 | 3.2 | 2500 | 0.5445 | 0.8788 | 0.9355 |
| 0.0692 | 3.84 | 3000 | 0.2071 | 0.9452 | 0.9718 |
| 0.0545 | 4.48 | 3500 | 0.2308 | 0.9548 | 0.9769 |
| 0.0482 | 5.12 | 4000 | 0.3297 | 0.9373 | 0.9676 |
| 0.0464 | 5.75 | 4500 | 0.3698 | 0.926 | 0.9616 |
| 0.0308 | 6.39 | 5000 | 0.3691 | 0.9363 | 0.9671 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Dec 11, 2022
- Updated
- Dec 11, 2022