metadata
library_name: transformers
license: apache-2.0
base_model: Rziane/whisper-medium-aeb_TunCS
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: whisper-medium-aeb_AT
results: []
whisper-medium-aeb_AT
This model is a fine-tuned version of Rziane/whisper-medium-aeb_TunCS on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2080
- Wer: 63.7618
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: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 1.0 | 99 | 1.9925 | 106.6050 |
| No log | 2.0 | 198 | 1.2492 | 68.9387 |
| No log | 3.0 | 297 | 1.0616 | 66.4557 |
| No log | 4.0 | 396 | 1.0217 | 65.0925 |
| No log | 5.0 | 495 | 1.0509 | 67.5755 |
| 1.3526 | 6.0 | 594 | 1.0961 | 64.5245 |
| 1.3526 | 7.0 | 693 | 1.1130 | 65.1899 |
| 1.3526 | 8.0 | 792 | 1.1661 | 62.6582 |
| 1.3526 | 9.0 | 891 | 1.1678 | 62.0253 |
| 1.3526 | 10.0 | 990 | 1.2080 | 63.7618 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0