Commit
•
e274b6c
1
Parent(s):
e8f5ea6
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,79 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- br
|
| 4 |
+
license: apache-2.0
|
| 5 |
+
tags:
|
| 6 |
+
- automatic-speech-recognition
|
| 7 |
+
- mozilla-foundation/common_voice_7_0
|
| 8 |
+
- generated_from_trainer
|
| 9 |
+
datasets:
|
| 10 |
+
- common_voice
|
| 11 |
+
model-index:
|
| 12 |
+
- name: wav2vec2-large-xls-r-300m-breton
|
| 13 |
+
results: []
|
| 14 |
+
---
|
| 15 |
+
|
| 16 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 17 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 18 |
+
|
| 19 |
+
# wav2vec2-large-xls-r-300m-breton
|
| 20 |
+
|
| 21 |
+
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - BR dataset.
|
| 22 |
+
It achieves the following results on the evaluation set:
|
| 23 |
+
- Loss: 0.6102
|
| 24 |
+
- Wer: 0.4455
|
| 25 |
+
|
| 26 |
+
## Model description
|
| 27 |
+
|
| 28 |
+
More information needed
|
| 29 |
+
|
| 30 |
+
## Intended uses & limitations
|
| 31 |
+
|
| 32 |
+
More information needed
|
| 33 |
+
|
| 34 |
+
## Training and evaluation data
|
| 35 |
+
|
| 36 |
+
More information needed
|
| 37 |
+
|
| 38 |
+
## Training procedure
|
| 39 |
+
|
| 40 |
+
### Training hyperparameters
|
| 41 |
+
|
| 42 |
+
The following hyperparameters were used during training:
|
| 43 |
+
- learning_rate: 7e-05
|
| 44 |
+
- train_batch_size: 32
|
| 45 |
+
- eval_batch_size: 32
|
| 46 |
+
- seed: 42
|
| 47 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 48 |
+
- lr_scheduler_type: linear
|
| 49 |
+
- lr_scheduler_warmup_steps: 500
|
| 50 |
+
- num_epochs: 50.0
|
| 51 |
+
- mixed_precision_training: Native AMP
|
| 52 |
+
|
| 53 |
+
### Training results
|
| 54 |
+
|
| 55 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer |
|
| 56 |
+
|:-------------:|:-----:|:----:|:---------------:|:------:|
|
| 57 |
+
| 2.9205 | 3.33 | 500 | 2.8659 | 1.0 |
|
| 58 |
+
| 1.6403 | 6.67 | 1000 | 0.9440 | 0.7593 |
|
| 59 |
+
| 1.3483 | 10.0 | 1500 | 0.7580 | 0.6215 |
|
| 60 |
+
| 1.2255 | 13.33 | 2000 | 0.6851 | 0.5722 |
|
| 61 |
+
| 1.1139 | 16.67 | 2500 | 0.6409 | 0.5220 |
|
| 62 |
+
| 1.0688 | 20.0 | 3000 | 0.6245 | 0.5055 |
|
| 63 |
+
| 0.99 | 23.33 | 3500 | 0.6142 | 0.4874 |
|
| 64 |
+
| 0.9345 | 26.67 | 4000 | 0.5946 | 0.4829 |
|
| 65 |
+
| 0.9058 | 30.0 | 4500 | 0.6229 | 0.4704 |
|
| 66 |
+
| 0.8683 | 33.33 | 5000 | 0.6153 | 0.4666 |
|
| 67 |
+
| 0.8367 | 36.67 | 5500 | 0.5952 | 0.4542 |
|
| 68 |
+
| 0.8162 | 40.0 | 6000 | 0.6030 | 0.4541 |
|
| 69 |
+
| 0.8042 | 43.33 | 6500 | 0.5972 | 0.4485 |
|
| 70 |
+
| 0.7836 | 46.67 | 7000 | 0.6070 | 0.4497 |
|
| 71 |
+
| 0.7556 | 50.0 | 7500 | 0.6102 | 0.4455 |
|
| 72 |
+
|
| 73 |
+
|
| 74 |
+
### Framework versions
|
| 75 |
+
|
| 76 |
+
- Transformers 4.16.0.dev0
|
| 77 |
+
- Pytorch 1.10.1+cu102
|
| 78 |
+
- Datasets 1.17.1.dev0
|
| 79 |
+
- Tokenizers 0.11.0
|