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prosat_finetuned_pro_emit_correlations3
lupobricco/prosat_finetuned_pro_emit_correlations3
prosat_finetuned_pro_emit_correlations3 is a text classification model from lupobricco. 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
- May 6, 2024
- Updated
- May 6, 2024
- SHA
- e370b391
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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. -->
prosat_finetuned_pro_emit_correlations3
This model is a fine-tuned version of lupobricco/feel_it_finetuned_pro_emit_multilabel2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2460
- F1: 0.5926
- Roc Auc: 0.7627
- Accuracy: 0.4055
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.239 | 1.0 | 1037 | 0.2441 | 0.4647 | 0.6712 | 0.3265 |
| 0.1978 | 2.0 | 2074 | 0.2321 | 0.5115 | 0.7035 | 0.3471 |
| 0.1724 | 3.0 | 3111 | 0.2284 | 0.5778 | 0.7484 | 0.4124 |
| 0.1444 | 4.0 | 4148 | 0.2290 | 0.5726 | 0.7437 | 0.4124 |
| 0.1204 | 5.0 | 5185 | 0.2428 | 0.5778 | 0.7605 | 0.3935 |
| 0.1 | 6.0 | 6222 | 0.2460 | 0.5926 | 0.7627 | 0.4055 |
| 0.0857 | 7.0 | 7259 | 0.2585 | 0.5825 | 0.7646 | 0.3986 |
| 0.0729 | 8.0 | 8296 | 0.2630 | 0.5832 | 0.7597 | 0.4261 |
| 0.0659 | 9.0 | 9333 | 0.2731 | 0.5874 | 0.7672 | 0.4175 |
| 0.0568 | 10.0 | 10370 | 0.2741 | 0.5897 | 0.7683 | 0.4038 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- camembert
- Created
- May 6, 2024
- Updated
- May 6, 2024