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End of training

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  1. README.md +9 -8
  2. model.safetensors +1 -1
  3. preprocessor_config.json +1 -0
README.md CHANGED
@@ -20,12 +20,13 @@ should probably proofread and complete it, then remove this comment. -->
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/projektarbeit_dalim/huggingface/runs/wobjnlgw)
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/projektarbeit_dalim/huggingface/runs/wobjnlgw)
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/projektarbeit_dalim/huggingface/runs/wobjnlgw)
 
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  # 240801-wav2vec2-ASR-Global-All-Clients
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  This model is a fine-tuned version of [zainulhakim/240626-wav2vec2-ASR_Global](https://huggingface.co/zainulhakim/240626-wav2vec2-ASR_Global) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.0444
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- - Wer: 0.9977
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  ## Model description
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@@ -44,7 +45,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0001
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  - train_batch_size: 4
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  - eval_batch_size: 8
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  - seed: 42
@@ -56,11 +57,11 @@ 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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- | No log | 1.2658 | 100 | 3.0729 | 1.0 |
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- | No log | 2.5316 | 200 | 3.0444 | 0.9977 |
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- | No log | 3.7975 | 300 | 3.0218 | 1.0 |
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  ### Framework versions
 
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/projektarbeit_dalim/huggingface/runs/wobjnlgw)
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/projektarbeit_dalim/huggingface/runs/wobjnlgw)
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/projektarbeit_dalim/huggingface/runs/wobjnlgw)
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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/projektarbeit_dalim/huggingface/runs/theziq77)
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  # 240801-wav2vec2-ASR-Global-All-Clients
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  This model is a fine-tuned version of [zainulhakim/240626-wav2vec2-ASR_Global](https://huggingface.co/zainulhakim/240626-wav2vec2-ASR_Global) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.0679
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+ - Wer: 1.0
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.001
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  - train_batch_size: 4
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  - eval_batch_size: 8
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  - seed: 42
 
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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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+ | No log | 1.2658 | 100 | 3.0679 | 1.0 |
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+ | No log | 2.5316 | 200 | 3.0868 | 1.0 |
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+ | No log | 3.7975 | 300 | 3.1148 | 1.0 |
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  ### Framework versions
model.safetensors CHANGED
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preprocessor_config.json CHANGED
@@ -4,6 +4,7 @@
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  "feature_size": 1,
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  "padding_side": "right",
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  "padding_value": 0.0,
 
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  "return_attention_mask": false,
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  "sampling_rate": 16000
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  }
 
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  "feature_size": 1,
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  "padding_side": "right",
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  "padding_value": 0.0,
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+ "processor_class": "Wav2Vec2Processor",
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  "return_attention_mask": false,
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  "sampling_rate": 16000
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  }