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Hanhpt23
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whisper-base-engmed-v1

Automatic Speech Recognition
Transformers
Safetensors
English
whisper
Generated from Trainer
Inference Endpoints
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End of training

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  1. README.md +23 -8
  2. model.safetensors +1 -1
README.md CHANGED
@@ -19,8 +19,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the pphuc25/EngMed dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.1094
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- - Wer: 58.1665
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  ## Model description
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@@ -46,17 +46,32 @@ 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: 100
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- - num_epochs: 5
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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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- | 1.1609 | 1.0 | 2506 | 1.7338 | 77.3061 |
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- | 0.6826 | 2.0 | 5012 | 1.7478 | 59.4633 |
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- | 0.3431 | 3.0 | 7518 | 1.8919 | 61.8297 |
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- | 0.1381 | 4.0 | 10024 | 2.0249 | 58.6966 |
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- | 0.0366 | 5.0 | 12530 | 2.1094 | 58.1665 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the pphuc25/EngMed dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.1666
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+ - Wer: 60.2158
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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: 100
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+ - num_epochs: 20
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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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+ | 1.1826 | 1.0 | 2506 | 1.7835 | 68.6355 |
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+ | 0.7887 | 2.0 | 5012 | 1.8341 | 59.1793 |
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+ | 0.4831 | 3.0 | 7518 | 2.0149 | 61.7493 |
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+ | 0.3118 | 4.0 | 10024 | 2.2028 | 61.6546 |
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+ | 0.1658 | 5.0 | 12530 | 2.4079 | 61.1198 |
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+ | 0.1132 | 6.0 | 15036 | 2.5319 | 62.6390 |
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+ | 0.0881 | 7.0 | 17542 | 2.6463 | 60.3815 |
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+ | 0.0576 | 8.0 | 20048 | 2.7534 | 62.1799 |
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+ | 0.0475 | 9.0 | 22554 | 2.8226 | 59.7141 |
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+ | 0.0255 | 10.0 | 25060 | 2.9442 | 61.1482 |
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+ | 0.0195 | 11.0 | 27566 | 2.9715 | 60.5282 |
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+ | 0.0192 | 12.0 | 30072 | 2.9949 | 61.1103 |
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+ | 0.006 | 13.0 | 32578 | 3.0603 | 59.3639 |
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+ | 0.0164 | 14.0 | 35084 | 3.0546 | 59.6479 |
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+ | 0.0024 | 15.0 | 37590 | 3.0842 | 60.2111 |
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+ | 0.004 | 16.0 | 40096 | 3.0938 | 60.4051 |
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+ | 0.0112 | 17.0 | 42602 | 3.1210 | 60.3862 |
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+ | 0.003 | 18.0 | 45108 | 3.1520 | 59.1935 |
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+ | 0.0017 | 19.0 | 47614 | 3.1416 | 60.1685 |
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+ | 0.0 | 20.0 | 50120 | 3.1666 | 60.2158 |
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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