Downloads · 30 days
6
11% of all-time downloads
teacher_mvit_v2_s_CrossEntropyLoss_pretrained_RWF2000-YOLO
DanJoshua/teacher_mvit_v2_s_CrossEntropyLoss_pretrained_RWF2000-YOLO
teacher_mvit_v2_s_CrossEntropyLoss_pretrained_RWF2000-YOLO 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. --
All-time downloads
54
Public
Parameters
34.3M
1.2 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors137 MB · 100%
At a glance
- Library
- transformers
- Model type
- mvit
- Access
- Public
- Created
- Oct 8, 2024
- Updated
- Oct 8, 2024
- SHA
- 80bf1799
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_CrossEntropyLoss_pretrained_RWF2000-YOLO
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2556
- Accuracy: 0.9158
- F1: 0.9158
- Precision: 0.9158
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
- lr_scheduler_warmup_steps: 144
- training_steps: 1440
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision |
|---|---|---|---|---|---|---|
| 0.6495 | 2.0028 | 144 | 0.5515 | 0.8719 | 0.8718 | 0.8725 |
| 0.4357 | 4.0056 | 288 | 0.3043 | 0.9050 | 0.9050 | 0.9050 |
| 0.2834 | 6.0083 | 432 | 0.2366 | 0.9132 | 0.9132 | 0.9147 |
| 0.221 | 8.0104 | 576 | 0.2206 | 0.9174 | 0.9174 | 0.9174 |
| 0.1948 | 10.0118 | 720 | 0.2096 | 0.9298 | 0.9297 | 0.9305 |
| 0.1426 | 12.0139 | 864 | 0.1927 | 0.9421 | 0.9421 | 0.9426 |
| 0.1346 | 14.0167 | 1008 | 0.1938 | 0.9339 | 0.9338 | 0.9358 |
| 0.1011 | 16.0194 | 1152 | 0.1861 | 0.9463 | 0.9463 | 0.9466 |
| 0.0875 | 18.0229 | 1296 | 0.1950 | 0.9421 | 0.9421 | 0.9423 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.0.1+cu118
- Datasets 3.0.1
- Tokenizers 0.20.0
- Library
- transformers
- Type
- mvit
- Created
- Oct 8, 2024
- Updated
- Oct 8, 2024