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augmented_model_one
LeonardoFettucciari/augmented_model_one
augmented_model_one is a text classification model from LeonardoFettucciari. 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
- Jun 18, 2024
- Updated
- Jun 18, 2024
- SHA
- a5e74019
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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. -->
augmented_model_one
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: 1.1943
- Accuracy: 0.5252
- F1: 0.5265
- Precision: 0.5273
- Recall: 0.5261
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: 3e-06
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.6029 | 0.1566 | 500 | 0.8051 | 0.6862 | 0.6782 | 0.6811 | 0.6790 |
| 0.5909 | 0.3132 | 1000 | 0.7965 | 0.6884 | 0.6803 | 0.6833 | 0.6811 |
| 0.5734 | 0.4698 | 1500 | 0.8022 | 0.6871 | 0.6778 | 0.6793 | 0.6794 |
| 0.5704 | 0.6264 | 2000 | 0.7963 | 0.6923 | 0.6829 | 0.6865 | 0.6843 |
| 0.5378 | 0.7830 | 2500 | 0.8157 | 0.6949 | 0.6858 | 0.6890 | 0.6871 |
| 0.5569 | 0.9396 | 3000 | 0.7976 | 0.6949 | 0.6856 | 0.6878 | 0.6871 |
| 0.51 | 1.0961 | 3500 | 0.8257 | 0.6958 | 0.6856 | 0.6895 | 0.6874 |
| 0.5139 | 1.2527 | 4000 | 0.8201 | 0.6954 | 0.6847 | 0.6889 | 0.6867 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jun 18, 2024
- Updated
- Jun 18, 2024