Create README.md

Initial draft of readme.md for hungarian

README.md

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+---
+language:
+- hu
+license: apache-2.0
+tags:
+- automatic-speech-recognition
+- mozilla-foundation/common_voice_7_0
+- generated_from_trainer
+- hu
+- robust-speech-event
+- model_for_talk
+datasets:
+- mozilla-foundation/common_voice_7_0
+
+model-index:
+- name: Akashpb13/xlsr_hungarian_new
+  results:
+  - task: 
+      name: Automatic Speech Recognition 
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 7
+      type: mozilla-foundation/common_voice_7_0
+      args: hu
+    metrics:
+       - name: Test WER
+         type: wer
+         value: 0.02698525418772714
+       - name: Test CER
+         type: cer
+         value: 0.005033063261641211
+  - task: 
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Robust Speech Event - Dev Data
+      type: speech-recognition-community-v2/dev_data
+      args: hu
+    metrics:
+       - name: Test WER
+         type: wer
+         value: 0.02698525418772714
+       - name: Test CER
+         type: cer
+         value: 0.005033063261641211
+---
+
+# Akashpb13/xlsr_hungarian_new
+
+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.
+It achieves the following results on evaluation set (which is 10 percent of train data set merged with invalidated data, reported, other, dev and validated datasets):
+- Loss: 0.184265
+- Wer: 0.292771
+## Model description
+More information needed
+## Intended uses & limitations
+More information needed
+## Training and evaluation data
+More information needed
+## Training procedure
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+
+learning_rate: 0.000095637994662983496
+train_batch_size: 16
+eval_batch_size: 16
+seed: 13
+gradient_accumulation_steps: 16
+total_train_batch_size: 316
+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: 100
+mixed_precision_training: Native AMP
+
+
+### Training results
+
+
+Step	Training Loss	Validation Loss	Wer
+500	4.825900	1.001413	0.810308
+1000	0.561400	0.202275	0.361987
+1500	0.298900	0.169643	0.326449
+2000	0.236500	0.168602	0.316215
+2500	0.199100	0.182484	0.308587
+3000	0.179100	0.178076	0.303005
+3500	0.161500	0.179107	0.299935
+4000	0.151700	0.183371	0.295283
+4500	0.143700	0.184443	0.295283
+5000	0.138900	0.184265	0.292771
+
+### 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_7_0` with split `test`
+
+```bash
+python eval.py --model_id Akashpb13/xlsr_hungarian_new --dataset mozilla-foundation/common_voice_7_0 --config hu --split test
+```
+
+