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anti_semic_test_trainer_gpu
mr-rov/anti_semic_test_trainer_gpu
anti_semic_test_trainer_gpu is a machine learning model from mr-rov. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Aug 8, 2024
- Updated
- Aug 8, 2024
- SHA
- d0b3ced2
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. -->
anti_semic_test_trainer_gpu
This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5457
- Accuracy: 0.8292
- F1: 0.8429
- Precision: 0.8148
- Recall: 0.8730
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: 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 90 | 0.4538 | 0.8 | 0.7692 | 0.9302 | 0.6557 |
| No log | 2.0 | 180 | 0.4527 | 0.8583 | 0.8618 | 0.8548 | 0.8689 |
| No log | 3.0 | 270 | 0.6990 | 0.8208 | 0.8054 | 0.8990 | 0.7295 |
| No log | 4.0 | 360 | 0.4457 | 0.8583 | 0.8672 | 0.8284 | 0.9098 |
| No log | 5.0 | 450 | 0.4965 | 0.8333 | 0.8182 | 0.9184 | 0.7377 |
| 0.4192 | 6.0 | 540 | 0.4217 | 0.8708 | 0.8755 | 0.8583 | 0.8934 |
| 0.4192 | 7.0 | 630 | 0.6471 | 0.8667 | 0.8788 | 0.8169 | 0.9508 |
| 0.4192 | 8.0 | 720 | 0.6131 | 0.8542 | 0.8699 | 0.7959 | 0.9590 |
| 0.4192 | 9.0 | 810 | 0.5834 | 0.8875 | 0.8889 | 0.8926 | 0.8852 |
| 0.4192 | 10.0 | 900 | 0.7285 | 0.85 | 0.8435 | 0.8981 | 0.7951 |
| 0.4192 | 11.0 | 990 | 0.6394 | 0.8708 | 0.8692 | 0.8957 | 0.8443 |
Framework versions
- Transformers 4.36.1
- Pytorch 2.0.1+cu117
- Datasets 2.19.2
- Tokenizers 0.15.0
- Type
- bert
- License
- apache-2.0
- Created
- Aug 8, 2024
- Updated
- Aug 8, 2024