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twitter-data-distilbert-base-uncased-sentiment-finetuned-memes-v1
SiddharthaM/twitter-data-distilbert-base-uncased-sentiment-finetuned-memes-v1
twitter-data-distilbert-base-uncased-sentiment-finetuned-memes-v1 is a text classification model from SiddharthaM. 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
- Oct 31, 2022
- Updated
- Oct 31, 2022
- SHA
- c220a382
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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. -->
twitter-data-distilbert-base-uncased-sentiment-finetuned-memes-v1
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2426
- Accuracy: 0.6492
- Precision: 0.6498
- Recall: 0.6492
- F1: 0.6492
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.8263 | 1.0 | 663 | 0.7315 | 0.6536 | 0.6699 | 0.6536 | 0.6502 |
| 0.6658 | 2.0 | 1326 | 0.7801 | 0.6565 | 0.6613 | 0.6565 | 0.6560 |
| 0.5735 | 3.0 | 1989 | 0.8170 | 0.6514 | 0.6579 | 0.6514 | 0.6504 |
| 0.344 | 4.0 | 2652 | 1.0184 | 0.6512 | 0.6525 | 0.6512 | 0.6512 |
| 0.2671 | 5.0 | 3315 | 1.1672 | 0.6503 | 0.6519 | 0.6503 | 0.6504 |
| 0.2236 | 6.0 | 3978 | 1.2426 | 0.6492 | 0.6498 | 0.6492 | 0.6492 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 31, 2022
- Updated
- Oct 31, 2022