metadata
language:
- de
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: openai/whisper-tiny
results: []
openai/whisper-tiny
This model is a fine-tuned version of openai/whisper-tiny on the Hanhpt23/GermanMed-full dataset. It achieves the following results on the evaluation set:
- Loss: 0.9461
- Wer: 30.9061
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.8146 | 1.0 | 194 | 0.8137 | 65.1856 |
| 0.4421 | 2.0 | 388 | 0.8220 | 37.1285 |
| 0.2251 | 3.0 | 582 | 0.7980 | 39.5557 |
| 0.1636 | 4.0 | 776 | 0.8563 | 50.7457 |
| 0.0827 | 5.0 | 970 | 0.8480 | 40.8516 |
| 0.0772 | 6.0 | 1164 | 0.8860 | 43.8136 |
| 0.0437 | 7.0 | 1358 | 0.9120 | 37.8793 |
| 0.0328 | 8.0 | 1552 | 0.9252 | 34.8144 |
| 0.0222 | 9.0 | 1746 | 0.9330 | 35.4520 |
| 0.0216 | 10.0 | 1940 | 0.9464 | 33.9504 |
| 0.0145 | 11.0 | 2134 | 0.9413 | 32.3151 |
| 0.0072 | 12.0 | 2328 | 0.9746 | 33.8990 |
| 0.0045 | 13.0 | 2522 | 0.9515 | 32.3871 |
| 0.0024 | 14.0 | 2716 | 0.9588 | 34.3618 |
| 0.0031 | 15.0 | 2910 | 0.9483 | 34.0533 |
| 0.0006 | 16.0 | 3104 | 0.9485 | 30.8135 |
| 0.0005 | 17.0 | 3298 | 0.9433 | 30.8444 |
| 0.0004 | 18.0 | 3492 | 0.9449 | 31.0398 |
| 0.0004 | 19.0 | 3686 | 0.9457 | 30.9575 |
| 0.0004 | 20.0 | 3880 | 0.9461 | 30.9061 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1