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wav2vec2-large-xls-r-300m-zu-1hr-v1

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  1. README.md +14 -13
  2. model.safetensors +1 -1
README.md CHANGED
@@ -6,20 +6,20 @@ tags:
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  metrics:
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  - wer
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  model-index:
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- - name: wav2vec2-large-xls-r-300m-zu
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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
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  should probably proofread and complete it, then remove this comment. -->
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- # wav2vec2-large-xls-r-300m-zu
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  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 22.5058
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- - Wer: 3.7780
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- - Cer: 1.5758
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  ## Model description
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@@ -38,7 +38,7 @@ 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: 0.0003
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  - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
@@ -46,17 +46,18 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 32
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - lr_scheduler_warmup_steps: 500
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- - num_epochs: 3
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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 | Cer |
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- |:-------------:|:------:|:----:|:---------------:|:------:|:------:|
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- | No log | 0.9231 | 6 | 23.1728 | 1.0 | 1.1499 |
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- | No log | 2.0 | 13 | 22.8901 | 1.1933 | 1.6280 |
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- | No log | 2.7692 | 18 | 22.5058 | 3.7780 | 1.5758 |
 
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  ### Framework versions
 
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  metrics:
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  - wer
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  model-index:
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+ - name: wav2vec2-large-xls-r-300m-zu-1hr-v1
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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
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  should probably proofread and complete it, then remove this comment. -->
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+ # wav2vec2-large-xls-r-300m-zu-1hr-v1
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  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.0198
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+ - Wer: 1.0
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+ - Cer: 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: 1e-05
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  - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
 
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  - total_train_batch_size: 32
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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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 | Cer |
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+ |:-------------:|:------:|:----:|:---------------:|:---:|:---:|
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+ | No log | 0.9231 | 6 | 6.2030 | 1.0 | 1.0 |
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+ | No log | 2.0 | 13 | 3.3458 | 1.0 | 1.0 |
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+ | No log | 2.9231 | 19 | 3.0615 | 1.0 | 1.0 |
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+ | No log | 4.0 | 26 | 3.0198 | 1.0 | 1.0 |
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  ### Framework versions
model.safetensors CHANGED
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