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distilbert-bilstm-mla-emotion-small-data
TimKemomimi/distilbert-bilstm-mla-emotion-small-data
distilbert-bilstm-mla-emotion-small-data is a machine learning model from TimKemomimi. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Jun 5, 2025
- Updated
- Jun 5, 2025
- SHA
- 80b0f438
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-bilstm-mla-emotion-small-data
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2142
- Accuracy: 0.9335
- F1: 0.9336
- Precision: 0.9003
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: 4e-05
- train_batch_size: 64
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision |
|---|---|---|---|---|---|---|
| 0.9578 | 1.0 | 250 | 0.4257 | 0.8965 | 0.8974 | 0.8426 |
| 0.3689 | 2.0 | 500 | 0.3108 | 0.9215 | 0.9212 | 0.8855 |
| 0.273 | 3.0 | 750 | 0.2529 | 0.927 | 0.9278 | 0.8805 |
| 0.2202 | 4.0 | 1000 | 0.2352 | 0.9315 | 0.9313 | 0.9002 |
| 0.1915 | 5.0 | 1250 | 0.2236 | 0.934 | 0.9339 | 0.9005 |
| 0.1671 | 6.0 | 1500 | 0.2142 | 0.9335 | 0.9336 | 0.9003 |
Framework versions
- Transformers 4.48.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jun 5, 2025
- Updated
- Jun 5, 2025