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relatives_labels-cbert_finetuned
djamina/relatives_labels-cbert_finetuned
relatives_labels-cbert_finetuned is a text classification model from djamina. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- camembert
- Access
- Public
- Created
- Jun 7, 2024
- Updated
- Jun 7, 2024
- SHA
- d5e038c0
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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. -->
relatives_labels-cbert_finetuned
This model is a fine-tuned version of camembert/camembert-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6900
- Accuracy: 0.5859
- Precision: 0.7929
- Recall: 0.5
- F1: 0.3694
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 49 | 0.7593 | 0.5859 | 0.5447 | 0.5071 | 0.4105 |
| No log | 2.0 | 98 | 0.7108 | 0.5859 | 0.7929 | 0.5 | 0.3694 |
| No log | 3.0 | 147 | 0.6904 | 0.5859 | 0.7929 | 0.5 | 0.3694 |
| No log | 4.0 | 196 | 0.6891 | 0.5859 | 0.7929 | 0.5 | 0.3694 |
| No log | 5.0 | 245 | 0.6900 | 0.5859 | 0.7929 | 0.5 | 0.3694 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- camembert
- Created
- Jun 7, 2024
- Updated
- Jun 7, 2024