vedamaganti commited on
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End of training

Browse files
README.md CHANGED
@@ -16,13 +16,13 @@ model-index:
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  dataset:
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  name: common_voice_13_0
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  type: common_voice_13_0
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- config: ta
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  split: test
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- args: ta
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  metrics:
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  - name: Wer
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  type: wer
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- value: 0.5893832943013271
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice_13_0 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7021
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- - Wer: 0.5894
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  ## Model description
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@@ -68,9 +68,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.5892 | 6.4 | 800 | 0.6134 | 0.6987 |
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- | 0.134 | 12.8 | 1600 | 0.6760 | 0.6354 |
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- | 0.0698 | 19.2 | 2400 | 0.7021 | 0.5894 |
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  ### Framework versions
 
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  dataset:
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  name: common_voice_13_0
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  type: common_voice_13_0
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+ config: hi
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  split: test
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+ args: hi
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 0.5216572504708098
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice_13_0 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9408
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+ - Wer: 0.5217
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 1.1749 | 6.4 | 800 | 0.9206 | 0.6466 |
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+ | 0.2218 | 12.8 | 1600 | 0.9543 | 0.5581 |
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+ | 0.1143 | 19.2 | 2400 | 0.9408 | 0.5217 |
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  ### Framework versions
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  "feature_size": 1,
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  "return_attention_mask": true,
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  "sampling_rate": 16000
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  }
 
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  "feature_size": 1,
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+ "processor_class": "Wav2Vec2Processor",
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  "return_attention_mask": true,
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  "sampling_rate": 16000
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  }
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