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distilbert-base-uncased-finetuned-emotion
Nithish7994/distilbert-base-uncased-finetuned-emotion
distilbert-base-uncased-finetuned-emotion is a text classification model from Nithish7994. 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 21, 2024
- Updated
- Dec 15, 2024
- SHA
- 7331cf07
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Base models
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-base-uncased-finetuned-emotion
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: 0.3751
- Accuracy: 0.8988
- F1: 0.9002
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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 | F1 |
|---|---|---|---|---|---|
| No log | 0.9995 | 1048 | 0.2471 | 0.9028 | 0.8919 |
| No log | 2.0 | 2097 | 0.2553 | 0.9037 | 0.9039 |
| No log | 2.9995 | 3145 | 0.3125 | 0.8977 | 0.8997 |
| No log | 3.9981 | 4192 | 0.3751 | 0.8988 | 0.9002 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 21, 2024
- Updated
- Dec 15, 2024