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minilm_finetuned_emotions
adelinamart/minilm_finetuned_emotions
minilm_finetuned_emotions is a text classification model from adelinamart. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Feb 12, 2024
- Updated
- Mar 5, 2024
- SHA
- fa5cbd9f
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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. -->
minilm_finetuned_emotions
This model is a fine-tuned version of microsoft/MiniLM-L12-H384-uncased on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 0.4118
- F1: 0.9103
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.3758 | 1.0 | 250 | 1.0211 | 0.5910 |
| 0.885 | 2.0 | 500 | 0.7133 | 0.7977 |
| 0.6248 | 3.0 | 750 | 0.5321 | 0.8840 |
| 0.4874 | 4.0 | 1000 | 0.4416 | 0.9013 |
| 0.4193 | 5.0 | 1250 | 0.4118 | 0.9103 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Feb 12, 2024
- Updated
- Mar 5, 2024