Commit
•
8d58382
1
Parent(s):
23b1976
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,78 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- hu
|
| 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-hungarian
|
| 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-hungarian
|
| 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 - HU dataset.
|
| 22 |
+
It achieves the following results on the evaluation set:
|
| 23 |
+
- Loss: 0.2562
|
| 24 |
+
- Wer: 0.3112
|
| 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: 1000
|
| 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 |
+
| 2.3964 | 3.52 | 1000 | 1.2251 | 0.8781 |
|
| 58 |
+
| 1.3176 | 7.04 | 2000 | 0.3872 | 0.4462 |
|
| 59 |
+
| 1.1999 | 10.56 | 3000 | 0.3244 | 0.3922 |
|
| 60 |
+
| 1.1633 | 14.08 | 4000 | 0.3014 | 0.3704 |
|
| 61 |
+
| 1.1132 | 17.61 | 5000 | 0.2913 | 0.3623 |
|
| 62 |
+
| 1.0888 | 21.13 | 6000 | 0.2864 | 0.3498 |
|
| 63 |
+
| 1.0487 | 24.65 | 7000 | 0.2821 | 0.3435 |
|
| 64 |
+
| 1.0431 | 28.17 | 8000 | 0.2739 | 0.3308 |
|
| 65 |
+
| 0.9896 | 31.69 | 9000 | 0.2629 | 0.3243 |
|
| 66 |
+
| 0.9839 | 35.21 | 10000 | 0.2806 | 0.3308 |
|
| 67 |
+
| 0.9586 | 38.73 | 11000 | 0.2650 | 0.3235 |
|
| 68 |
+
| 0.9501 | 42.25 | 12000 | 0.2585 | 0.3173 |
|
| 69 |
+
| 0.938 | 45.77 | 13000 | 0.2561 | 0.3117 |
|
| 70 |
+
| 0.921 | 49.3 | 14000 | 0.2559 | 0.3115 |
|
| 71 |
+
|
| 72 |
+
|
| 73 |
+
### Framework versions
|
| 74 |
+
|
| 75 |
+
- Transformers 4.16.0.dev0
|
| 76 |
+
- Pytorch 1.10.1+cu102
|
| 77 |
+
- Datasets 1.17.1.dev0
|
| 78 |
+
- Tokenizers 0.11.0
|