Model save

README.md

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+---
+license: apache-2.0
+base_model: facebook/wav2vec2-large-xlsr-53
+tags:
+- generated_from_trainer
+model-index:
+- name: wav2vec2-large-tamil-native
+  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-large-tamil-native
+
+This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: nan
+- eval_wer: 1.0
+- eval_runtime: 58.2412
+- eval_samples_per_second: 3.125
+- eval_steps_per_second: 0.395
+- epoch: 32.97
+- step: 1500
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 50
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 1.11.0
+- Datasets 2.14.6
+- Tokenizers 0.14.1

runs/Nov12_05-34-57_w-jaira-whisper-7e3f2fa624344e5881f7f0acaefedd28-777c569b5h5jjj/events.out.tfevents.1699767386.w-jaira-whisper-7e3f2fa624344e5881f7f0acaefedd28-777c569b5h5jjj.3821.1

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