Create README.md

README.md

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+---
+license: mit
+datasets:
+- mozilla-foundation/common_voice_16_0
+language:
+- mn
+metrics:
+- wer
+library_name: transformers
+pipeline_tag: automatic-speech-recognition
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Whisper Small Mongolia - Dorjzodovsuren Batjargal
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8256
+- Wer: 53.1369
+
+## 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: 1e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- total_train_batch_size: 32
+- total_eval_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0312        | 7.94  | 1000 | 0.6400          | 54.0698 |
+| 0.0021        | 15.87 | 2000 | 0.7654          | 52.8969 |
+| 0.0004        | 23.81 | 3000 | 0.8086          | 53.1042 |
+| 0.0003        | 31.75 | 4000 | 0.8256          | 53.1369 |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.2+cu118
+- Datasets 2.16.1
+- Tokenizers 0.15.0