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distilrubert-tiny-2nd-finetune-epru
mmillet/distilrubert-tiny-2nd-finetune-epru
distilrubert-tiny-2nd-finetune-epru is a text classification model from mmillet. 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
- distilbert
- Access
- Public
- Created
- Jun 11, 2022
- Updated
- Jun 11, 2022
- SHA
- db2b5583
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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. -->
distilrubert-tiny-2nd-finetune-epru
This model is a fine-tuned version of mmillet/distilrubert-tiny-cased-conversational-v1_single_finetuned_on_cedr_augmented on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3546
- Accuracy: 0.9325
- F1: 0.9328
- Precision: 0.9359
- Recall: 0.9325
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: 0.0001
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.0686 | 1.0 | 12 | 0.2931 | 0.9141 | 0.9142 | 0.9163 | 0.9141 |
| 0.0269 | 2.0 | 24 | 0.2690 | 0.9448 | 0.9444 | 0.9449 | 0.9448 |
| 0.0282 | 3.0 | 36 | 0.3140 | 0.9141 | 0.9140 | 0.9168 | 0.9141 |
| 0.0185 | 4.0 | 48 | 0.2977 | 0.9571 | 0.9570 | 0.9576 | 0.9571 |
| 0.0103 | 5.0 | 60 | 0.3368 | 0.9264 | 0.9265 | 0.9296 | 0.9264 |
| 0.0088 | 6.0 | 72 | 0.3067 | 0.9387 | 0.9385 | 0.9389 | 0.9387 |
| 0.0152 | 7.0 | 84 | 0.3660 | 0.9264 | 0.9263 | 0.9282 | 0.9264 |
| 0.0315 | 8.0 | 96 | 0.3793 | 0.9325 | 0.9328 | 0.9359 | 0.9325 |
| 0.0258 | 9.0 | 108 | 0.3546 | 0.9325 | 0.9328 | 0.9359 | 0.9325 |
Framework versions
- Transformers 4.19.4
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Created
- Jun 11, 2022
- Updated
- Jun 11, 2022