Create README.md

README.md

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+---
+language:
+- rm-vallader
+license: apache-2.0
+tags:
+- automatic-speech-recognition
+- mozilla-foundation/common_voice_8_0
+- generated_from_trainer
+- rm-vallader
+- robust-speech-event
+- model_for_talk
+datasets:
+- mozilla-foundation/common_voice_8_0
+
+model-index:
+- name: sammy786/wav2vec2-xlsr-romansh_vallader
+  results:
+  - task: 
+      name: Automatic Speech Recognition 
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 8
+      type: mozilla-foundation/common_voice_8_0
+      args: rm-vallader
+    metrics:
+       - name: Test WER
+         type: wer
+         value: 28.54
+       - name: Test CER
+         type: cer
+         value: 6.57
+---
+# sammy786/wav2vec2-xlsr-romansh_vallader
+
+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 - rm-vallader dataset.
+It achieves the following results on evaluation set (which is 10 percent of train data set merged with other and dev datasets):
+- Loss: 30.31
+- Wer: 26.32
+
+## 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: 40
+- mixed_precision_training: Native AMP
+
+
+### Training results
+
+
+| Step | Training Loss | Validation Loss | Wer      |
+|------|---------------|-----------------|----------|
+| 200  | 5.895100      | 3.136624        | 0.999713 |
+| 400  | 1.545700      | 0.445069        | 0.471584 |
+| 600  | 0.693900      | 0.340700        | 0.363088 |
+| 800  | 0.510600      | 0.295432        | 0.289610 |
+| 1000 | 0.318800      | 0.286795        | 0.281860 |
+| 1200 | 0.194000      | 0.307468        | 0.274110 |
+| 1400 | 0.151800      | 0.304849        | 0.264351 |
+| 1600 | 0.148300      | 0.303112        | 0.263203 |
+
+
+
+### 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-romansh_vallader --dataset mozilla-foundation/common_voice_8_0 --config rm-vallader --split test
+```