Commit
•
2fdce6c
1
Parent(s):
1462e58
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,76 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
datasets:
|
| 6 |
+
- common_voice
|
| 7 |
+
model-index:
|
| 8 |
+
- name: ''
|
| 9 |
+
results: []
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
+
|
| 15 |
+
#
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the common_voice dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 0.6925
|
| 20 |
+
- Wer: 1.0517
|
| 21 |
+
- Cer: 0.1923
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 0.0001
|
| 41 |
+
- train_batch_size: 32
|
| 42 |
+
- eval_batch_size: 8
|
| 43 |
+
- seed: 42
|
| 44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 45 |
+
- lr_scheduler_type: linear
|
| 46 |
+
- lr_scheduler_warmup_steps: 2000
|
| 47 |
+
- num_epochs: 50.0
|
| 48 |
+
- mixed_precision_training: Native AMP
|
| 49 |
+
|
| 50 |
+
### Training results
|
| 51 |
+
|
| 52 |
+
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|
| 53 |
+
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
|
| 54 |
+
| 1.9321 | 3.14 | 1000 | 1.0116 | 0.9823 | 0.2635 |
|
| 55 |
+
| 2.0934 | 6.29 | 2000 | 1.1241 | 1.0222 | 0.2932 |
|
| 56 |
+
| 2.0389 | 9.43 | 3000 | 1.2067 | 1.1325 | 0.3345 |
|
| 57 |
+
| 1.9569 | 12.58 | 4000 | 0.9818 | 1.0090 | 0.2657 |
|
| 58 |
+
| 1.8409 | 15.72 | 5000 | 1.0382 | 1.6480 | 0.3741 |
|
| 59 |
+
| 1.7449 | 18.87 | 6000 | 0.9962 | 1.6268 | 0.3454 |
|
| 60 |
+
| 1.7349 | 22.01 | 7000 | 0.9560 | 0.9850 | 0.2597 |
|
| 61 |
+
| 1.6857 | 25.16 | 8000 | 0.8722 | 0.9669 | 0.2325 |
|
| 62 |
+
| 1.5637 | 28.3 | 9000 | 0.7636 | 1.8071 | 0.3422 |
|
| 63 |
+
| 1.5088 | 31.45 | 10000 | 0.7290 | 1.0398 | 0.2085 |
|
| 64 |
+
| 1.4298 | 34.59 | 11000 | 0.7576 | 1.0166 | 0.2104 |
|
| 65 |
+
| 1.3716 | 37.74 | 12000 | 0.7046 | 1.1275 | 0.2138 |
|
| 66 |
+
| 1.3185 | 40.88 | 13000 | 0.7011 | 1.1696 | 0.2179 |
|
| 67 |
+
| 1.28 | 44.03 | 14000 | 0.6754 | 1.1316 | 0.2024 |
|
| 68 |
+
| 1.2368 | 47.17 | 15000 | 0.6925 | 1.0517 | 0.1923 |
|
| 69 |
+
|
| 70 |
+
|
| 71 |
+
### Framework versions
|
| 72 |
+
|
| 73 |
+
- Transformers 4.17.0.dev0
|
| 74 |
+
- Pytorch 1.10.2+cu102
|
| 75 |
+
- Datasets 1.18.2.dev0
|
| 76 |
+
- Tokenizers 0.11.0
|