File size: 2,437 Bytes
e637434 8ac98bc e637434 8ac98bc e637434 8ac98bc e637434 8ac98bc e637434 |
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 84 85 86 87 |
---
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
datasets:
- PolyAI/minds14
metrics:
- wer
model-index:
- name: whisper-tiny-en-us
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: PolyAI/minds14
type: PolyAI/minds14
config: en-US
split: train
args: en-US
metrics:
- name: Wer
type: wer
value: 0.35360094451003543
---
<!-- 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-tiny-en-us
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7154
- Wer Ortho: 0.3627
- Wer: 0.3536
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 500
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
| 2.1622 | 1.79 | 50 | 0.9646 | 0.4510 | 0.3908 |
| 0.3628 | 3.57 | 100 | 0.5673 | 0.3812 | 0.3501 |
| 0.131 | 5.36 | 150 | 0.5827 | 0.3714 | 0.3436 |
| 0.0488 | 7.14 | 200 | 0.6058 | 0.3689 | 0.3383 |
| 0.0144 | 8.93 | 250 | 0.6444 | 0.3671 | 0.3430 |
| 0.0044 | 10.71 | 300 | 0.6652 | 0.3418 | 0.3282 |
| 0.0021 | 12.5 | 350 | 0.6827 | 0.3405 | 0.3306 |
| 0.0013 | 14.29 | 400 | 0.6956 | 0.3448 | 0.3341 |
| 0.0011 | 16.07 | 450 | 0.7061 | 0.3640 | 0.3542 |
| 0.0008 | 17.86 | 500 | 0.7154 | 0.3627 | 0.3536 |
### Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
|