File size: 2,574 Bytes
122f2d6 |
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-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: openai/whisper-tiny
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-tiny
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Hanhpt23/GermanMed-full dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9014
- Wer: 29.3839
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.747 | 1.0 | 194 | 0.7466 | 40.1728 |
| 0.4004 | 2.0 | 388 | 0.7261 | 37.1285 |
| 0.2012 | 3.0 | 582 | 0.7231 | 34.3721 |
| 0.1134 | 4.0 | 776 | 0.7465 | 34.0327 |
| 0.0606 | 5.0 | 970 | 0.7888 | 37.7044 |
| 0.0525 | 6.0 | 1164 | 0.8147 | 33.9813 |
| 0.0323 | 7.0 | 1358 | 0.8244 | 31.6569 |
| 0.027 | 8.0 | 1552 | 0.8383 | 31.8215 |
| 0.0149 | 9.0 | 1746 | 0.8643 | 32.1094 |
| 0.0119 | 10.0 | 1940 | 0.8747 | 31.7495 |
| 0.009 | 11.0 | 2134 | 0.8765 | 30.9781 |
| 0.0037 | 12.0 | 2328 | 0.8875 | 29.8879 |
| 0.0021 | 13.0 | 2522 | 0.8832 | 30.0936 |
| 0.0011 | 14.0 | 2716 | 0.8943 | 29.9496 |
| 0.0013 | 15.0 | 2910 | 0.8906 | 29.5485 |
| 0.0006 | 16.0 | 3104 | 0.8944 | 29.5999 |
| 0.0006 | 17.0 | 3298 | 0.8968 | 29.3942 |
| 0.0005 | 18.0 | 3492 | 0.8997 | 29.3839 |
| 0.0006 | 19.0 | 3686 | 0.9010 | 29.4251 |
| 0.0005 | 20.0 | 3880 | 0.9014 | 29.3839 |
### Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1
|