File size: 2,574 Bytes
e7c4acb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 | ---
language:
- de
license: apache-2.0
base_model: openai/whisper-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: openai/whisper-base
results: []
---
<!-- 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. -->
# openai/whisper-base
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Hanhpt23/GermanMed-full dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8154
- Wer: 28.0469
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.694 | 1.0 | 194 | 0.6826 | 38.7329 |
| 0.3399 | 2.0 | 388 | 0.6960 | 39.2780 |
| 0.1866 | 3.0 | 582 | 0.7193 | 42.8057 |
| 0.1157 | 4.0 | 776 | 0.7415 | 31.9963 |
| 0.0853 | 5.0 | 970 | 0.7792 | 32.7265 |
| 0.0574 | 6.0 | 1164 | 0.7686 | 33.7036 |
| 0.0358 | 7.0 | 1358 | 0.7852 | 33.1791 |
| 0.0423 | 8.0 | 1552 | 0.8025 | 32.1917 |
| 0.027 | 9.0 | 1746 | 0.8138 | 31.2044 |
| 0.0172 | 10.0 | 1940 | 0.8155 | 29.0548 |
| 0.0182 | 11.0 | 2134 | 0.8280 | 30.7004 |
| 0.0053 | 12.0 | 2328 | 0.8268 | 30.4227 |
| 0.0066 | 13.0 | 2522 | 0.8221 | 30.0319 |
| 0.0023 | 14.0 | 2716 | 0.8166 | 29.5176 |
| 0.0007 | 15.0 | 2910 | 0.8215 | 28.6948 |
| 0.0012 | 16.0 | 3104 | 0.8262 | 28.4789 |
| 0.0003 | 17.0 | 3298 | 0.8158 | 28.3143 |
| 0.0004 | 18.0 | 3492 | 0.8154 | 27.9338 |
| 0.0003 | 19.0 | 3686 | 0.8154 | 27.9646 |
| 0.0003 | 20.0 | 3880 | 0.8154 | 28.0469 |
### Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1
|