Create README.md

README.md

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+---
+language:
+- cs
+license: apache-2.0
+tags:
+- automatic-speech-recognition
+- mozilla-foundation/common_voice_8_0
+- generated_from_trainer
+- cs
+- robust-speech-event
+- model_for_talk
+datasets:
+- mozilla-foundation/common_voice_8_0
+
+model-index:
+- name: sammy786/wav2vec2-xlsr-czech
+  results:
+  - task: 
+      name: Automatic Speech Recognition 
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 8
+      type: mozilla-foundation/common_voice_8_0
+      args: fi
+    metrics:
+       - name: Test WER
+         type: wer
+         value: 11.533
+       - name: Test CER
+         type: cer
+         value: 2.61
+  - task: 
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Robust Speech Event - Dev Data
+      type: speech-recognition-community-v2/dev_data
+      args: fi
+    metrics:
+       - name: Test WER
+         type: wer
+         value: 11.533
+       - name: Test CER
+         type: cer
+         value: 2.611
+---
+# sammy786/wav2vec2-xlsr-czech
+
+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 - cs dataset.
+It achieves the following results on evaluation set (which is 10 percent of train data set merged with other and dev datasets):
+- Loss: 9.7555
+- Wer: 18.4731
+
+## 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, invalidated.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: 8
+- eval_batch_size: 16
+- seed: 13
+- gradient_accumulation_steps: 4
+- 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: 7
+- mixed_precision_training: Native AMP
+
+
+
+### 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-czech --dataset mozilla-foundation/common_voice_8_0 --config cs --split test
+```