update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- bayartsogt/mongolian_speech_commands
+model-index:
+- name: wav2vec2-base-mn-pretrain-42h-finetuned-speech-commands
+  results: []
+---
+
+<!-- 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. -->
+
+# wav2vec2-base-mn-pretrain-42h-finetuned-speech-commands
+
+This model is a fine-tuned version of [bayartsogt/wav2vec2-base-mn-pretrain-42h](https://huggingface.co/bayartsogt/wav2vec2-base-mn-pretrain-42h) on the Mongolian Speech Commands dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.5607
+- eval_mn_acc: 0.9830
+- eval_mn_f1: 0.9857
+- eval_en_acc: 0.8914
+- eval_en_f1: 0.8671
+- eval_runtime: 109.6829
+- eval_samples_per_second: 46.188
+- eval_steps_per_second: 0.365
+- epoch: 6.41
+- step: 4352
+
+## 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: 5e-05
+- train_batch_size: 128
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 8
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.0
+- Datasets 2.14.4
+- Tokenizers 0.13.3