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adima_training_new_2
Arnold145/adima_training_new_2
adima_training_new_2 is a machine learning model from Arnold145. 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. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Nov 20, 2025
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At a glance
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Nov 20, 2025
- Updated
- Nov 20, 2025
- SHA
- fad2a112
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. -->
adima_training_new_2
This model is a fine-tuned version of openai/whisper-medium on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4923
- Accuracy: 0.8096
- F1: 0.7725
- Precision: 0.8067
- Recall: 0.7410
- Auc: 0.8745
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Accuracy | Auc | F1 | Validation Loss | Precision | Recall |
|---|---|---|---|---|---|---|---|---|
| 0.4959 | 1.0 | 1012 | 0.7664 | 0.8395 | 0.7056 | 0.5189 | 0.7833 | 0.6418 |
| 0.4136 | 2.0 | 2024 | 0.7890 | 0.8549 | 0.7295 | 0.5210 | 0.8271 | 0.6526 |
| 0.413 | 3.0 | 3036 | 0.4964 | 0.8008 | 0.7605 | 0.7994 | 0.7252 | 0.8650 |
| 0.4113 | 4.0 | 4048 | 0.5015 | 0.8066 | 0.7620 | 0.8222 | 0.7100 | 0.8706 |
| 0.3754 | 5.0 | 5060 | 0.4990 | 0.8113 | 0.7671 | 0.8306 | 0.7126 | 0.8738 |
| 0.3449 | 6.0 | 6072 | 0.4923 | 0.8096 | 0.7725 | 0.8067 | 0.7410 | 0.8745 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1
- Library
- transformers
- License
- apache-2.0
- Created
- Nov 20, 2025
- Updated
- Nov 20, 2025