End of training

README.md

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 ---
 license: apache-2.0
+base_model: facebook/wav2vec2-large-xlsr-53
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_13_0
+metrics:
+- wer
+model-index:
+- name: Marathi_ASR_using_xlsr_wav2vec
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_13_0
+      type: common_voice_13_0
+      config: mr
+      split: test
+      args: mr
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.787176724137931
 ---
+
+<!-- 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. -->
+
+# Marathi_ASR_using_xlsr_wav2vec
+
+This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice_13_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7676
+- Wer: 0.7872
+
+## 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    |
+|:-------------:|:-------:|:----:|:---------------:|:------:|
+| 6.5921        | 10.6667 | 400  | 3.3151          | 1.0021 |
+| 2.0358        | 21.3333 | 800  | 0.7676          | 0.7872 |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.1.2
+- Datasets 2.19.0
+- Tokenizers 0.19.1

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runs/Apr21_10-30-01_74b57a095dc9/events.out.tfevents.1713695489.74b57a095dc9.34.0

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