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lbl-file1-fold3
shreyashvora/lbl-file1-fold3
lbl-file1-fold3 is a machine learning model from shreyashvora. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- distilbert
- Access
- Public
- Created
- Jan 17, 2025
- Updated
- Jan 25, 2025
- SHA
- acfa5327
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. -->
lbl-file1-fold3
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2723
- Accuracy: 0.568
- F1: 0.5607
- Precision: 0.5645
- Recall: 0.568
- Accuracy Label Label 0: 0.8226
- Accuracy Label Label 1: 0.5813
- Accuracy Label Label 2: 0.4715
- Accuracy Label Label 3: 0.7741
- Accuracy Label Label 4: 0.6585
- Accuracy Label Label 5: 0.4262
- Accuracy Label Label 6: 0.6604
- Accuracy Label Label 7: 0.2358
- Accuracy Label Label 8: 0.636
- Accuracy Label Label 9: 0.4192
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: 1e-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Accuracy Label Label 0 | Accuracy Label Label 1 | Accuracy Label Label 2 | Accuracy Label Label 3 | Accuracy Label Label 4 | Accuracy Label Label 5 | Accuracy Label Label 6 | Accuracy Label Label 7 | Accuracy Label Label 8 | Accuracy Label Label 9 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.2768 | 0.64 | 100 | 1.2751 | 0.5684 | 0.5607 | 0.5648 | 0.5684 | 0.8266 | 0.5772 | 0.4677 | 0.7782 | 0.6585 | 0.4262 | 0.6604 | 0.2358 | 0.636 | 0.4231 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.13.3
- Type
- distilbert
- Created
- Jan 17, 2025
- Updated
- Jan 25, 2025