manjugeorge commited on
Commit
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End of training

Browse files
README.md CHANGED
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  ---
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  license: apache-2.0
 
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  tags:
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  - generated_from_trainer
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- base_model: facebook/wav2vec2-large-xlsr-53
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  datasets:
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- - common_voice_11_0
 
 
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  model-index:
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  - name: wav2vec2-base-Manju
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- results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
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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
@@ -15,7 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # wav2vec2-base-Manju
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- 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_11_0 dataset.
 
 
 
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  ## Model description
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  ### Training results
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: facebook/wav2vec2-large-xlsr-53
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  tags:
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  - generated_from_trainer
 
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  datasets:
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+ - common_voice_17_0
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+ metrics:
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+ - wer
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  model-index:
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  - name: wav2vec2-base-Manju
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+ results:
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+ - task:
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+ name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: common_voice_17_0
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+ type: common_voice_17_0
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+ config: ml
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+ split: None
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+ args: ml
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 1.0
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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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  # wav2vec2-base-Manju
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+ 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_17_0 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 4.0961
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+ - Wer: 1.0
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:------:|:----:|:---------------:|:---:|
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+ | 12.5584 | 1.9763 | 500 | 4.0961 | 1.0 |
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  ### Framework versions
config.json CHANGED
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  "num_hidden_layers": 24,
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  "num_negatives": 100,
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  "output_hidden_size": 1024,
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  "torch_dtype": "float32",
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  "transformers_version": "4.40.2",
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  "use_weighted_layer_sum": false,
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- "vocab_size": 77,
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  "xvector_output_dim": 512
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  }
 
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  "num_hidden_layers": 24,
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  "num_negatives": 100,
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  "output_hidden_size": 1024,
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  "proj_codevector_dim": 768,
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  "tdnn_dilation": [
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  1,
 
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  "torch_dtype": "float32",
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  "transformers_version": "4.40.2",
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  "use_weighted_layer_sum": false,
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  "xvector_output_dim": 512
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  }
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