Anguuuuus commited on
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End of training

Browse files
README.md CHANGED
@@ -17,8 +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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7168
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- - Accuracy: 0.3182
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  ## Model description
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@@ -37,12 +37,10 @@ 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: 32
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- - eval_batch_size: 32
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  - seed: 42
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- - gradient_accumulation_steps: 4
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- - total_train_batch_size: 128
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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_ratio: 0.1
@@ -52,13 +50,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 1 | 0.6919 | 0.4545 |
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- | No log | 2.0 | 3 | 0.6987 | 0.3636 |
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- | No log | 3.0 | 5 | 0.7079 | 0.3182 |
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- | No log | 4.0 | 6 | 0.7125 | 0.3182 |
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- | No log | 5.0 | 7 | 0.7169 | 0.3182 |
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- | No log | 6.0 | 9 | 0.7165 | 0.3182 |
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- | 0.3424 | 6.67 | 10 | 0.7168 | 0.3182 |
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7096
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+ - Accuracy: 0.4545
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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: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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  - seed: 42
 
 
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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_ratio: 0.1
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.6975 | 1.0 | 6 | 0.7157 | 0.3182 |
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+ | 0.6785 | 2.0 | 12 | 0.7382 | 0.3182 |
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+ | 0.6646 | 3.0 | 18 | 0.7378 | 0.3182 |
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+ | 0.6157 | 4.0 | 24 | 0.7488 | 0.3182 |
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+ | 0.5937 | 5.0 | 30 | 0.7132 | 0.4091 |
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+ | 0.5625 | 6.0 | 36 | 0.7259 | 0.3636 |
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+ | 0.5731 | 7.0 | 42 | 0.7300 | 0.4091 |
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+ | 0.5682 | 8.0 | 48 | 0.7523 | 0.3636 |
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+ | 0.482 | 9.0 | 54 | 0.7167 | 0.3636 |
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+ | 0.5232 | 10.0 | 60 | 0.7096 | 0.4545 |
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  ### Framework versions
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