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End of training

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  1. README.md +8 -6
  2. config.json +2 -1
  3. pytorch_model.bin +2 -2
  4. training_args.bin +2 -2
README.md CHANGED
@@ -1,7 +1,10 @@
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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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  model-index:
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  - name: wav2vec2_batangueno
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  results: []
@@ -14,8 +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-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5103
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- - Wer: 0.3127
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  ## Model description
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@@ -42,19 +45,18 @@ The following hyperparameters were used during training:
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 1000
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  - num_epochs: 30
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- - mixed_precision_training: Native AMP
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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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- | 3.5525 | 10.64 | 500 | 1.9745 | 1.0 |
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- | 0.5882 | 21.28 | 1000 | 0.5103 | 0.3127 |
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  ### Framework versions
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- - Transformers 4.17.0
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  - Pytorch 2.0.1+cu118
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  - Datasets 1.18.3
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  - Tokenizers 0.14.1
 
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  ---
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  license: apache-2.0
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+ base_model: facebook/wav2vec2-base
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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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  - name: wav2vec2_batangueno
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  results: []
 
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5957
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+ - Wer: 0.3902
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  ## Model description
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 1000
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  - num_epochs: 30
 
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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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+ | 3.665 | 10.64 | 500 | 2.2443 | 1.0 |
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+ | 0.6541 | 21.28 | 1000 | 0.5957 | 0.3902 |
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  ### Framework versions
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+ - Transformers 4.34.0
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  - Pytorch 2.0.1+cu118
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  - Datasets 1.18.3
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  - Tokenizers 0.14.1
config.json CHANGED
@@ -1,6 +1,7 @@
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  {
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  "_name_or_path": "facebook/wav2vec2-base",
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  "activation_dropout": 0.0,
 
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  "adapter_kernel_size": 3,
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  "adapter_stride": 2,
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  "add_adapter": false,
@@ -110,7 +111,7 @@
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  1
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  ],
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  "torch_dtype": "float32",
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- "transformers_version": "4.17.0",
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  "use_weighted_layer_sum": false,
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  "vocab_size": 32,
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  "xvector_output_dim": 512
 
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  {
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  "_name_or_path": "facebook/wav2vec2-base",
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  "activation_dropout": 0.0,
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+ "adapter_attn_dim": null,
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  "adapter_kernel_size": 3,
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  "adapter_stride": 2,
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  "add_adapter": false,
 
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  1
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  ],
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  "torch_dtype": "float32",
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+ "transformers_version": "4.34.0",
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  "use_weighted_layer_sum": false,
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  "vocab_size": 32,
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  "xvector_output_dim": 512
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