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End of training

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  1. README.md +5 -5
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [emirhanbilgic/speecht5_finetuned_emirhan_tr](https://huggingface.co/emirhanbilgic/speecht5_finetuned_emirhan_tr) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6626
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  ## Model description
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@@ -34,7 +34,7 @@ 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: 1e-05
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  - train_batch_size: 4
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  - eval_batch_size: 2
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  - seed: 42
@@ -42,15 +42,15 @@ 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: 10
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- - training_steps: 10
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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 |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 0.8253 | 0.0455 | 10 | 0.6626 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [emirhanbilgic/speecht5_finetuned_emirhan_tr](https://huggingface.co/emirhanbilgic/speecht5_finetuned_emirhan_tr) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6689
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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: 2
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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: 100
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+ - training_steps: 100
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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 |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 0.6058 | 0.4545 | 100 | 0.6689 |
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  ### Framework versions