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End of training

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  1. README.md +21 -11
  2. model.safetensors +1 -1
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 [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.3116
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- - Wer: 115.0000
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  ## Model description
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@@ -44,23 +44,33 @@ The following hyperparameters were used during training:
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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: 50
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- - num_epochs: 2
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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 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 0.2 | 1 | 3.9843 | 120.0 |
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- | No log | 0.4 | 2 | 3.9621 | 120.0 |
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- | No log | 0.6 | 3 | 3.9201 | 120.0 |
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- | No log | 0.8 | 4 | 3.8624 | 120.0 |
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  | 3.9419 | 1.0 | 5 | 3.7933 | 120.0 |
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- | 3.9419 | 1.2 | 6 | 3.7164 | 120.0 |
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- | 3.9419 | 1.4 | 7 | 3.6329 | 120.0 |
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- | 3.9419 | 1.6 | 8 | 3.5400 | 120.0 |
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- | 3.9419 | 1.8 | 9 | 3.4343 | 120.0 |
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  | 3.5809 | 2.0 | 10 | 3.3116 | 115.0000 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0772
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+ - Wer: 390.0
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  ## Model description
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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: 50
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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 | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
 
 
 
 
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  | 3.9419 | 1.0 | 5 | 3.7933 | 120.0 |
 
 
 
 
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  | 3.5809 | 2.0 | 10 | 3.3116 | 115.0000 |
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+ | 2.9392 | 3.0 | 15 | 2.5977 | 115.0000 |
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+ | 2.4416 | 4.0 | 20 | 2.1190 | 100.0 |
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+ | 1.9172 | 5.0 | 25 | 1.5509 | 100.0 |
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+ | 1.3762 | 6.0 | 30 | 1.0480 | 185.0 |
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+ | 0.9056 | 7.0 | 35 | 0.7003 | 6325.0 |
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+ | 0.5587 | 8.0 | 40 | 0.3793 | 3885.0 |
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+ | 0.3094 | 9.0 | 45 | 0.2168 | 3005.0 |
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+ | 0.1747 | 10.0 | 50 | 0.1447 | 2455.0 |
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+ | 0.101 | 11.0 | 55 | 0.1192 | 160.0 |
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+ | 0.0621 | 12.0 | 60 | 0.0981 | 310.0 |
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+ | 0.0389 | 13.0 | 65 | 0.0968 | 300.0 |
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+ | 0.0252 | 14.0 | 70 | 0.0831 | 365.0 |
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+ | 0.0163 | 15.0 | 75 | 0.0837 | 490.0000 |
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+ | 0.0118 | 16.0 | 80 | 0.0790 | 450.0 |
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+ | 0.009 | 17.0 | 85 | 0.0770 | 395.0 |
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+ | 0.0076 | 18.0 | 90 | 0.0772 | 390.0 |
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+ | 0.0069 | 19.0 | 95 | 0.0774 | 390.0 |
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+ | 0.0066 | 20.0 | 100 | 0.0772 | 390.0 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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