metadata
library_name: transformers
license: apache-2.0
base_model: DotCheck/finetuned_model
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: finetuned_video_model
results: []
finetuned_video_model
This model is a fine-tuned version of DotCheck/finetuned_model on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0674
- Accuracy: 0.9821
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: 512
- eval_batch_size: 512
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 14 | 0.1526 | 0.9615 |
| No log | 2.0 | 28 | 0.1366 | 0.9615 |
| No log | 3.0 | 42 | 0.1200 | 0.9654 |
| No log | 4.0 | 56 | 0.1034 | 0.9679 |
| No log | 5.0 | 70 | 0.0903 | 0.9692 |
| No log | 6.0 | 84 | 0.0833 | 0.9692 |
| No log | 7.0 | 98 | 0.0764 | 0.9782 |
| No log | 8.0 | 112 | 0.0745 | 0.9782 |
| No log | 9.0 | 126 | 0.0705 | 0.9808 |
| No log | 10.0 | 140 | 0.0706 | 0.9821 |
| No log | 11.0 | 154 | 0.0678 | 0.9821 |
| No log | 12.0 | 168 | 0.0678 | 0.9821 |
| No log | 13.0 | 182 | 0.0669 | 0.9833 |
| No log | 14.0 | 196 | 0.0677 | 0.9821 |
| No log | 15.0 | 210 | 0.0674 | 0.9821 |
Framework versions
- Transformers 4.54.1
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4