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teacher_mvit_v2_s_pretrained_True_RWF2000
DanJoshua/teacher_mvit_v2_s_pretrained_True_RWF2000
teacher_mvit_v2_s_pretrained_True_RWF2000 is a machine learning model from DanJoshua. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- mvit
- Access
- Public
- Created
- Oct 6, 2024
- Updated
- Oct 6, 2024
- SHA
- 35d260e7
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. -->
teacher_mvit_v2_s_pretrained_True_RWF2000
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2623
- Accuracy: 0.9113
- F1: 0.9112
- Precision: 0.9124
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-05
- train_batch_size: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1520
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision |
|---|---|---|---|---|---|---|
| 0.6682 | 0.0507 | 77 | 0.6420 | 0.7937 | 0.7931 | 0.7975 |
| 0.5711 | 1.05 | 153 | 0.5441 | 0.8438 | 0.8437 | 0.8438 |
| 0.477 | 2.05 | 229 | 0.4189 | 0.8812 | 0.8812 | 0.8818 |
| 0.3538 | 3.05 | 305 | 0.3375 | 0.8875 | 0.8875 | 0.8877 |
| 0.3039 | 4.05 | 381 | 0.2847 | 0.9 | 0.9000 | 0.9003 |
| 0.2467 | 5.05 | 457 | 0.2619 | 0.9125 | 0.9122 | 0.9190 |
| 0.2965 | 6.05 | 533 | 0.2357 | 0.9313 | 0.9310 | 0.9368 |
| 0.221 | 7.05 | 609 | 0.2221 | 0.925 | 0.9250 | 0.9253 |
| 0.2071 | 8.05 | 685 | 0.2173 | 0.925 | 0.9248 | 0.9293 |
| 0.2129 | 9.05 | 761 | 0.2116 | 0.9187 | 0.9187 | 0.9193 |
| 0.2148 | 10.05 | 837 | 0.2107 | 0.925 | 0.9248 | 0.9293 |
| 0.1725 | 11.05 | 913 | 0.2085 | 0.9313 | 0.9312 | 0.9329 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.0.1+cu118
- Datasets 3.0.1
- Tokenizers 0.20.0
- Library
- transformers
- Type
- mvit
- Created
- Oct 6, 2024
- Updated
- Oct 6, 2024