kannada_beekeeping_wav2vec2

README.md

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+---
+base_model: Harveenchadha/vakyansh-wav2vec2-kannada-knm-560
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: kannada_beekeeping_wav2vec2
+  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. -->
+
+# kannada_beekeeping_wav2vec2
+
+This model is a fine-tuned version of [Harveenchadha/vakyansh-wav2vec2-kannada-knm-560](https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-kannada-knm-560) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5026
+- Wer: 0.3540
+
+## 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: 10
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 10.7351       | 1.21  | 35   | 1.7314          | 0.7609 |
+| 1.3444        | 2.41  | 70   | 0.7849          | 0.4993 |
+| 0.8992        | 3.62  | 105  | 0.6112          | 0.3857 |
+| 0.6347        | 4.83  | 140  | 0.5026          | 0.3540 |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1