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End of training

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README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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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
@@ -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 [nguyenvulebinh/wav2vec2-base-vietnamese-250h](https://huggingface.co/nguyenvulebinh/wav2vec2-base-vietnamese-250h) 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: 4.9208
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- - Wer: 1.0
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  ## Model description
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@@ -64,14 +64,14 @@ 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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- | 14.5388 | 4.3103 | 500 | 4.6367 | 1.0 |
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- | 4.7736 | 8.6207 | 1000 | 4.6004 | 1.0 |
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- | 4.0887 | 12.9310 | 1500 | 4.5495 | 1.0 |
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- | 3.8825 | 17.2414 | 2000 | 4.3716 | 1.0 |
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- | 3.7765 | 21.5517 | 2500 | 4.8458 | 1.0 |
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- | 3.6492 | 25.8621 | 3000 | 4.9208 | 1.0 |
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  ### Framework versions
 
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 0.43487928843710294
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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 [nguyenvulebinh/wav2vec2-base-vietnamese-250h](https://huggingface.co/nguyenvulebinh/wav2vec2-base-vietnamese-250h) 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: 0.7992
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+ - Wer: 0.4349
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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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+ | 0.261 | 4.3103 | 500 | 0.4182 | 0.3492 |
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+ | 0.2061 | 8.6207 | 1000 | 0.5416 | 0.4044 |
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+ | 0.1883 | 12.9310 | 1500 | 0.6796 | 0.4304 |
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+ | 0.1336 | 17.2414 | 2000 | 0.8089 | 0.4378 |
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+ | 0.1257 | 21.5517 | 2500 | 0.8244 | 0.4426 |
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+ | 0.098 | 25.8621 | 3000 | 0.7992 | 0.4349 |
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  ### Framework versions
config.json CHANGED
@@ -104,6 +104,6 @@
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  "torch_dtype": "float32",
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  "transformers_version": "4.40.0",
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  "use_weighted_layer_sum": false,
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- "vocab_size": 112,
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  "xvector_output_dim": 512
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  }
 
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  "torch_dtype": "float32",
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  "transformers_version": "4.40.0",
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  "use_weighted_layer_sum": false,
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+ "vocab_size": 110,
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  "xvector_output_dim": 512
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  }
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