File size: 4,596 Bytes
d81a0f9 3513e6a d81a0f9 3513e6a d81a0f9 3513e6a d81a0f9 3513e6a d81a0f9 |
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 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 |
---
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-AU
split: train
args: en-AU
metrics:
- name: Wer
type: wer
value: 0.19386369807222373
---
<!-- 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: 0.5874
- Wer Ortho: 0.1978
- Wer: 0.1939
## 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: 5
- training_steps: 400
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
| No log | 0.36 | 10 | 0.5445 | 0.1970 | 0.1930 |
| No log | 0.71 | 20 | 0.5571 | 0.1973 | 0.1939 |
| 0.0009 | 1.07 | 30 | 0.5571 | 0.1981 | 0.1936 |
| 0.0009 | 1.43 | 40 | 0.5535 | 0.1958 | 0.1920 |
| 0.0024 | 1.79 | 50 | 0.5568 | 0.1967 | 0.1930 |
| 0.0024 | 2.14 | 60 | 0.5679 | 0.2024 | 0.1996 |
| 0.0024 | 2.5 | 70 | 0.5574 | 0.1970 | 0.1944 |
| 0.0019 | 2.86 | 80 | 0.5454 | 0.1956 | 0.1936 |
| 0.0019 | 3.21 | 90 | 0.5541 | 0.2044 | 0.1982 |
| 0.0043 | 3.57 | 100 | 0.5330 | 0.1998 | 0.1936 |
| 0.0043 | 3.93 | 110 | 0.5524 | 0.1981 | 0.1958 |
| 0.0043 | 4.29 | 120 | 0.5482 | 0.1958 | 0.1933 |
| 0.0043 | 4.64 | 130 | 0.5554 | 0.1984 | 0.1952 |
| 0.0043 | 5.0 | 140 | 0.5634 | 0.1998 | 0.1949 |
| 0.001 | 5.36 | 150 | 0.5526 | 0.1990 | 0.1930 |
| 0.001 | 5.71 | 160 | 0.5511 | 0.1973 | 0.1920 |
| 0.001 | 6.07 | 170 | 0.5548 | 0.1953 | 0.1917 |
| 0.0006 | 6.43 | 180 | 0.5589 | 0.2047 | 0.1998 |
| 0.0006 | 6.79 | 190 | 0.5657 | 0.2027 | 0.1982 |
| 0.0004 | 7.14 | 200 | 0.5686 | 0.1961 | 0.1933 |
| 0.0004 | 7.5 | 210 | 0.5714 | 0.1944 | 0.1911 |
| 0.0004 | 7.86 | 220 | 0.5710 | 0.1976 | 0.1941 |
| 0.0002 | 8.21 | 230 | 0.5656 | 0.1973 | 0.1925 |
| 0.0002 | 8.57 | 240 | 0.5661 | 0.1981 | 0.1928 |
| 0.0001 | 8.93 | 250 | 0.5688 | 0.1984 | 0.1930 |
| 0.0001 | 9.29 | 260 | 0.5720 | 0.1967 | 0.1920 |
| 0.0001 | 9.64 | 270 | 0.5745 | 0.1970 | 0.1930 |
| 0.0001 | 10.0 | 280 | 0.5758 | 0.1964 | 0.1925 |
| 0.0001 | 10.36 | 290 | 0.5767 | 0.1970 | 0.1930 |
| 0.0001 | 10.71 | 300 | 0.5780 | 0.1978 | 0.1941 |
| 0.0001 | 11.07 | 310 | 0.5793 | 0.1978 | 0.1941 |
| 0.0001 | 11.43 | 320 | 0.5803 | 0.1976 | 0.1939 |
| 0.0001 | 11.79 | 330 | 0.5815 | 0.1973 | 0.1933 |
| 0.0001 | 12.14 | 340 | 0.5824 | 0.1973 | 0.1933 |
| 0.0001 | 12.5 | 350 | 0.5833 | 0.1973 | 0.1933 |
| 0.0001 | 12.86 | 360 | 0.5843 | 0.1970 | 0.1933 |
| 0.0001 | 13.21 | 370 | 0.5850 | 0.1976 | 0.1936 |
| 0.0001 | 13.57 | 380 | 0.5856 | 0.1978 | 0.1939 |
| 0.0001 | 13.93 | 390 | 0.5865 | 0.1978 | 0.1939 |
| 0.0001 | 14.29 | 400 | 0.5874 | 0.1978 | 0.1939 |
### Framework versions
- Transformers 4.31.0.dev0
- Pytorch 1.12.1+cu116
- Datasets 2.4.0
- Tokenizers 0.12.1
|