File size: 1,887 Bytes
3344079 |
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 |
---
language:
- en
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- mShiry/ATC_combined
metrics:
- wer
model-index:
- name: Whisper Small ATC - ATCText
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: ATC
type: mShiry/ATC_combined
args: 'split: test'
metrics:
- name: Wer
type: wer
value: 10.612930650580948
---
<!-- 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. -->
# Whisper Small ATC - ATCText
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the ATC dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2486
- Wer: 10.6129
## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.2533 | 0.42 | 1000 | 0.3465 | 16.2868 |
| 0.235 | 0.84 | 2000 | 0.2881 | 13.5237 |
| 0.0851 | 1.27 | 3000 | 0.2607 | 10.6048 |
| 0.1317 | 1.69 | 4000 | 0.2486 | 10.6129 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2
- Datasets 2.18.0
- Tokenizers 0.15.2
|