update model card README.md

README.md

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+---
+license: apache-2.0
+base_model: ayertey01/wav2vec2-large-xlsr-53-AsanteTwi-06second
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_13_0
+metrics:
+- wer
+model-index:
+- name: wav2vec2-large-xlsr-53-AsanteTwi-07
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_13_0
+      type: common_voice_13_0
+      config: tw
+      split: test
+      args: tw
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.4375
+---
+
+<!-- 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-large-xlsr-53-AsanteTwi-07
+
+This model is a fine-tuned version of [ayertey01/wav2vec2-large-xlsr-53-AsanteTwi-06second](https://huggingface.co/ayertey01/wav2vec2-large-xlsr-53-AsanteTwi-06second) on the common_voice_13_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8573
+- Wer: 0.4375
+
+## 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: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 200
+- num_epochs: 100
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.0656        | 16.67 | 100  | 0.6553          | 0.5    |
+| 0.0354        | 33.33 | 200  | 0.7952          | 0.5    |
+| 0.0329        | 50.0  | 300  | 0.6705          | 0.4375 |
+| 0.0261        | 66.67 | 400  | 0.7253          | 0.4375 |
+| 0.0214        | 83.33 | 500  | 0.8056          | 0.4375 |
+| 0.0236        | 100.0 | 600  | 0.8573          | 0.4375 |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.0
+- Tokenizers 0.13.3