paruwka commited on
Commit
570a636
1 Parent(s): d519b28

End of training

Browse files
README.md CHANGED
@@ -1,8 +1,8 @@
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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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  metrics:
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  - wer
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  model-index:
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0971
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- - Wer: 1.0
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  ## Model description
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@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
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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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- | 10.1331 | 8.7719 | 500 | 3.1635 | 1.0 |
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- | 3.0445 | 17.5439 | 1000 | 2.9632 | 1.0 |
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- | 1.986 | 26.3158 | 1500 | 1.0971 | 1.0 |
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  ### Framework versions
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- - Transformers 4.41.0
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- - Pytorch 2.3.0+cu121
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- - Datasets 2.19.1
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- - Tokenizers 0.19.1
 
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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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  metrics:
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  - wer
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  model-index:
 
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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 None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9022
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+ - Wer: 0.7197
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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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+ | 9.9291 | 8.93 | 500 | 3.1984 | 1.0 |
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+ | 2.9471 | 17.86 | 1000 | 2.8526 | 1.0 |
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+ | 1.5367 | 26.79 | 1500 | 0.9022 | 0.7197 |
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  ### Framework versions
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+ - Transformers 4.39.3
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+ - Pytorch 2.1.2
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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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- "pad_token_id": 89,
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  "proj_codevector_dim": 768,
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  "tdnn_dilation": [
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  1,
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  1
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  ],
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  "torch_dtype": "float32",
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- "transformers_version": "4.41.0",
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  "use_weighted_layer_sum": false,
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- "vocab_size": 90,
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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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+ "pad_token_id": 64,
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  "proj_codevector_dim": 768,
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  "tdnn_dilation": [
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  1,
 
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  1
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  "torch_dtype": "float32",
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+ "transformers_version": "4.39.3",
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  "use_weighted_layer_sum": false,
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+ "vocab_size": 65,
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  "xvector_output_dim": 512
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  }
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