sammy786
/

wav2vec2-xlsr-bashkir

+---
+language:
+- ba
+license: apache-2.0
+tags:
+- automatic-speech-recognition
+- mozilla-foundation/common_voice_8_0
+- generated_from_trainer
+- ba
+- robust-speech-event
+- model_for_talk
+datasets:
+- mozilla-foundation/common_voice_8_0
+model-index:
+- name: sammy786/wav2vec2-xlsr-bashkir
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 8
+      type: mozilla-foundation/common_voice_8_0
+      args: ba
+    metrics:
+       - name: Test WER
+         type: wer
+         value:
+       - name: Test CER
+         type: cer
+         value:
+---
+# sammy786/wav2vec2-xlsr-bashkir
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - ba dataset.
+It achieves the following results on evaluation set (which is 10 percent of train data set merged with other and dev datasets):
+- Loss:
+- Wer:
+## Model description
+"facebook/wav2vec2-xls-r-1b" was finetuned.
+## Intended uses & limitations
+More information needed
+## Training and evaluation data
+Training data -
+Common voice Finnish train.tsv, dev.tsv and other.tsv
+## Training procedure
+For creating the train dataset, all possible datasets were appended and 90-10 split was used.
+### Training hyperparameters
+The following hyperparameters were used during training:
+- learning_rate: 0.000045637994662983496
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 13
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine_with_restarts
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 30
+- mixed_precision_training: Native AMP
+### Training results
+| Step | Training Loss | Validation Loss | Wer      |
+|:----:|:-------------:|:---------------:|:--------:|
+| 200  | 5.387100      | 1.982867        | 1.000000 |
+| 400  | 1.269800      | 0.369958        | 0.545755 |
+| 600  | 0.903600      | 0.287705        | 0.465594 |
+| 800  | 0.787300      | 0.235142        | 0.417091 |
+| 1000 | 0.816300      | 0.206325        | 0.390534 |
+| 1200 | 0.700500      | 0.197106        | 0.383987 |
+| 1400 | 0.707100      | 0.179855        | 0.381368 |
+| 1600 | 0.657800      | 0.181605        | 0.370593 |
+| 1800 | 0.647800      | 0.168626        | 0.358767 |
+| 2000 | 0.650700      | 0.164833        | 0.351483 |
+| 2200 | 0.490900      | 0.168133        | 0.363309 |
+| 2400 | 0.431000      | 0.161201        | 0.344350 |
+| 2600 | 0.372100      | 0.160254        | 0.338280 |
+| 2800 | 0.367500      | 0.150885        | 0.329687 |
+| 3000 | 0.351300      | 0.154112        | 0.331392 |
+| 3200 | 0.314800      | 0.147147        | 0.326700 |
+| 3400 | 0.316800      | 0.142681        | 0.325090 |
+| 3600 | 0.313000      | 0.138736        | 0.319553 |
+| 3800 | 0.291800      | 0.138166        | 0.315570 |
+| 4000 | 0.311300      | 0.135977        | 0.322894 |
+| 4200 | 0.304900      | 0.128820        | 0.308627 |
+| 4400 | 0.301600      | 0.129475        | 0.307440 |
+| 4600 | 0.281800      | 0.131863        | 0.305967 |
+### Framework versions
+- Transformers 4.16.0.dev0
+- Pytorch 1.10.0+cu102
+- Datasets 1.17.1.dev0
+- Tokenizers 0.10.3
+#### Evaluation Commands
+1. To evaluate on `mozilla-foundation/common_voice_8_0` with split `test`
+```bash
+python eval.py --model_id sammy786/wav2vec2-xlsr-bashkir --dataset mozilla-foundation/common_voice_8_0 --config ba --split test
+```