update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+datasets:
+- common_voice
+model-index:
+- name: wav2vec2-commonvoice-tamil
+  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-commonvoice-tamil
+
+This model is a fine-tuned version of [Harveenchadha/vakyansh-wav2vec2-tamil-tam-250](https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-tamil-tam-250) on the common_voice dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.3440
+- Wer: 1.0
+
+## 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: 0.0003
+- 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: 500
+- num_epochs: 30
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer |
+|:-------------:|:-----:|:----:|:---------------:|:---:|
+| 4.568         | 4.21  | 400  | 3.3715          | 1.0 |
+| 3.2873        | 8.42  | 800  | 3.3552          | 1.0 |
+| 3.2812        | 12.63 | 1200 | 3.3399          | 1.0 |
+| 3.2754        | 16.84 | 1600 | 3.3670          | 1.0 |
+| 3.2751        | 21.05 | 2000 | 3.3369          | 1.0 |
+| 3.2747        | 25.26 | 2400 | 3.3417          | 1.0 |
+| 3.2738        | 29.47 | 2800 | 3.3440          | 1.0 |
+
+
+### Framework versions
+
+- Transformers 4.11.3
+- Pytorch 1.10.0+cu111
+- Datasets 1.18.3
+- Tokenizers 0.10.3