update model card README.md

README.md

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+---
+license: apache-2.0
+base_model: ayertey01/wav2vec2-large-xlsr-53-AsanteTwi-06
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_13_0
+metrics:
+- wer
+model-index:
+- name: wav2vec2-large-xlsr-53-AsanteTwi-06second
+  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-06second
+
+This model is a fine-tuned version of [ayertey01/wav2vec2-large-xlsr-53-AsanteTwi-06](https://huggingface.co/ayertey01/wav2vec2-large-xlsr-53-AsanteTwi-06) on the common_voice_13_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6678
+- 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: 120
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 3.0992        | 16.67  | 100  | 2.4101          | 1.0    |
+| 0.3622        | 33.33  | 200  | 0.8652          | 0.4375 |
+| 0.1804        | 50.0   | 300  | 0.8567          | 0.4375 |
+| 0.1412        | 66.67  | 400  | 0.8914          | 0.5625 |
+| 0.1193        | 83.33  | 500  | 0.6723          | 0.4375 |
+| 0.1063        | 100.0  | 600  | 0.6634          | 0.4375 |
+| 0.0976        | 116.67 | 700  | 0.6678          | 0.4375 |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3