Commit
•
3bb1bfa
1
Parent(s):
b81e321
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,87 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
datasets:
|
| 6 |
+
- common_voice_11_0
|
| 7 |
+
metrics:
|
| 8 |
+
- wer
|
| 9 |
+
model-index:
|
| 10 |
+
- name: whisper-small-pt-cv11-v6
|
| 11 |
+
results:
|
| 12 |
+
- task:
|
| 13 |
+
name: Automatic Speech Recognition
|
| 14 |
+
type: automatic-speech-recognition
|
| 15 |
+
dataset:
|
| 16 |
+
name: common_voice_11_0
|
| 17 |
+
type: common_voice_11_0
|
| 18 |
+
config: pt
|
| 19 |
+
split: test
|
| 20 |
+
args: pt
|
| 21 |
+
metrics:
|
| 22 |
+
- name: Wer
|
| 23 |
+
type: wer
|
| 24 |
+
value: 12.080123266563945
|
| 25 |
+
---
|
| 26 |
+
|
| 27 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 28 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 29 |
+
|
| 30 |
+
# whisper-small-pt-cv11-v6
|
| 31 |
+
|
| 32 |
+
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_11_0 dataset.
|
| 33 |
+
It achieves the following results on the evaluation set:
|
| 34 |
+
- Loss: 0.2831
|
| 35 |
+
- Wer: 12.0801
|
| 36 |
+
- Cer: 4.8494
|
| 37 |
+
|
| 38 |
+
## Model description
|
| 39 |
+
|
| 40 |
+
More information needed
|
| 41 |
+
|
| 42 |
+
## Intended uses & limitations
|
| 43 |
+
|
| 44 |
+
More information needed
|
| 45 |
+
|
| 46 |
+
## Training and evaluation data
|
| 47 |
+
|
| 48 |
+
More information needed
|
| 49 |
+
|
| 50 |
+
## Training procedure
|
| 51 |
+
|
| 52 |
+
### Training hyperparameters
|
| 53 |
+
|
| 54 |
+
The following hyperparameters were used during training:
|
| 55 |
+
- learning_rate: 5e-06
|
| 56 |
+
- train_batch_size: 32
|
| 57 |
+
- eval_batch_size: 16
|
| 58 |
+
- seed: 42
|
| 59 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 60 |
+
- lr_scheduler_type: linear
|
| 61 |
+
- lr_scheduler_warmup_steps: 1000
|
| 62 |
+
- training_steps: 10000
|
| 63 |
+
- mixed_precision_training: Native AMP
|
| 64 |
+
|
| 65 |
+
### Training results
|
| 66 |
+
|
| 67 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|
| 68 |
+
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|
|
| 69 |
+
| 0.5235 | 0.92 | 500 | 0.3605 | 15.4083 | 6.1205 |
|
| 70 |
+
| 0.3839 | 1.84 | 1000 | 0.3034 | 14.2835 | 5.6010 |
|
| 71 |
+
| 0.2828 | 2.76 | 1500 | 0.2852 | 13.4977 | 5.1727 |
|
| 72 |
+
| 0.2367 | 3.68 | 2000 | 0.2768 | 12.9122 | 5.2280 |
|
| 73 |
+
| 0.1832 | 4.6 | 2500 | 0.2728 | 12.2496 | 4.9157 |
|
| 74 |
+
| 0.1549 | 5.52 | 3000 | 0.2730 | 12.0647 | 4.8384 |
|
| 75 |
+
| 0.1318 | 6.45 | 3500 | 0.2757 | 12.0955 | 4.8135 |
|
| 76 |
+
| 0.1077 | 7.37 | 4000 | 0.2738 | 11.9723 | 4.8273 |
|
| 77 |
+
| 0.0969 | 8.29 | 4500 | 0.2784 | 12.1572 | 4.9212 |
|
| 78 |
+
| 0.0813 | 9.21 | 5000 | 0.2805 | 12.3112 | 5.0207 |
|
| 79 |
+
| 0.0751 | 10.13 | 5500 | 0.2831 | 12.0801 | 4.8494 |
|
| 80 |
+
|
| 81 |
+
|
| 82 |
+
### Framework versions
|
| 83 |
+
|
| 84 |
+
- Transformers 4.26.0.dev0
|
| 85 |
+
- Pytorch 1.12.1+cu116
|
| 86 |
+
- Datasets 2.7.1.dev0
|
| 87 |
+
- Tokenizers 0.13.2
|