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resume_final_model_2
zoedc/resume_final_model_2
resume_final_model_2 is a text classification model from zoedc. 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
- bert
- Access
- Public
- Created
- May 27, 2024
- Updated
- May 27, 2024
- SHA
- 6f606e5f
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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. -->
resume_final_model_2
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6166
- Accuracy: 0.8
- F1: 0.7912
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: 2
- 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 | F1 |
|---|---|---|---|---|---|
| 1.6269 | 1.0 | 60 | 1.5980 | 0.3667 | 0.2096 |
| 1.4397 | 2.0 | 120 | 1.1270 | 0.7 | 0.6376 |
| 1.0017 | 3.0 | 180 | 0.8771 | 0.7 | 0.6897 |
| 0.6763 | 4.0 | 240 | 0.6542 | 0.8333 | 0.8320 |
| 0.4499 | 5.0 | 300 | 0.6166 | 0.8 | 0.7912 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- May 27, 2024
- Updated
- May 27, 2024