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pp_distilbert_ft_emotions
Parth1612/pp_distilbert_ft_emotions
pp_distilbert_ft_emotions is a text classification model from Parth1612. 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
- Mar 11, 2024
- Updated
- Mar 13, 2024
- SHA
- 5f5d2077
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Base models
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. -->
pp_distilbert_ft_emotions
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.1493
- Accuracy: 0.9275
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: 5e-05
- train_batch_size: 80
- eval_batch_size: 80
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.25 | 50 | 0.7329 | 0.758 |
| No log | 0.5 | 100 | 0.2915 | 0.9195 |
| No log | 0.75 | 150 | 0.2150 | 0.927 |
| No log | 1.0 | 200 | 0.1780 | 0.9285 |
| No log | 1.25 | 250 | 0.1777 | 0.9295 |
| No log | 1.5 | 300 | 0.1547 | 0.937 |
| No log | 1.75 | 350 | 0.1467 | 0.935 |
| No log | 2.0 | 400 | 0.1446 | 0.937 |
| No log | 2.25 | 450 | 0.1482 | 0.934 |
| 0.3073 | 2.5 | 500 | 0.1335 | 0.9385 |
| 0.3073 | 2.75 | 550 | 0.1344 | 0.9415 |
| 0.3073 | 3.0 | 600 | 0.1229 | 0.9425 |
| 0.3073 | 3.25 | 650 | 0.1381 | 0.939 |
| 0.3073 | 3.5 | 700 | 0.1292 | 0.941 |
| 0.3073 | 3.75 | 750 | 0.1278 | 0.944 |
| 0.3073 | 4.0 | 800 | 0.1258 | 0.944 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 11, 2024
- Updated
- Mar 13, 2024