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my_awesome_model_concatenate_event_name_event_description_2
ysouidi/my_awesome_model_concatenate_event_name_event_description_2
my_awesome_model_concatenate_event_name_event_description_2 is a text classification model from ysouidi. 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
- Dec 26, 2023
- Updated
- Dec 26, 2023
- SHA
- e42235ad
Try a prompt
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. -->
my_awesome_model_concatenate_event_name_event_description_2
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: 0.8375
- Accuracy: 0.8627
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 13 | 1.0123 | 0.5098 |
| No log | 2.0 | 26 | 0.8941 | 0.7451 |
| No log | 3.0 | 39 | 0.8375 | 0.8627 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.0+cpu
- Datasets 2.16.0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Dec 26, 2023
- Updated
- Dec 26, 2023