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distilbert-base-uncased-finetuned-emotion-assignment01
tenna18/distilbert-base-uncased-finetuned-emotion-assignment01
distilbert-base-uncased-finetuned-emotion-assignment01 is a machine learning model from tenna18. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Sep 9, 2024
- Updated
- Oct 25, 2024
- SHA
- 1136966b
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-assignment01
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: 0.1618
- Accuracy: 0.937
- F1: 0.9371
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.8381 | 1.0 | 250 | 0.2895 | 0.908 | 0.9046 |
| 0.2242 | 2.0 | 500 | 0.1803 | 0.9295 | 0.9293 |
| 0.1517 | 3.0 | 750 | 0.1618 | 0.937 | 0.9371 |
Framework versions
- Transformers 4.16.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 9, 2024
- Updated
- Oct 25, 2024