VladS159 commited on
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End of training

Browse files
README.md CHANGED
@@ -23,7 +23,7 @@ model-index:
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  metrics:
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  - name: Wer
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  type: wer
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- value: 11.957414448669201
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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
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 16.1 + Romanian speech synthesis dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1521
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- - Wer: 11.9574
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  ## Model description
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@@ -63,24 +63,22 @@ The following hyperparameters were used during training:
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  - total_eval_batch_size: 30
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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: 250
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- - training_steps: 2500
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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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- | 0.1596 | 0.61 | 250 | 0.1685 | 15.0114 |
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- | 0.0731 | 1.23 | 500 | 0.1366 | 12.9643 |
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- | 0.0737 | 1.84 | 750 | 0.1317 | 12.7574 |
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- | 0.032 | 2.46 | 1000 | 0.1292 | 11.8935 |
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- | 0.0219 | 3.07 | 1250 | 0.1296 | 11.9635 |
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- | 0.0169 | 3.69 | 1500 | 0.1359 | 11.9179 |
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- | 0.0106 | 4.3 | 1750 | 0.1422 | 12.0608 |
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- | 0.0103 | 4.91 | 2000 | 0.1434 | 11.8357 |
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- | 0.0058 | 5.53 | 2250 | 0.1499 | 11.8144 |
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- | 0.0047 | 6.14 | 2500 | 0.1521 | 11.9574 |
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  ### Framework versions
 
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  metrics:
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  - name: Wer
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  type: wer
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+ value: 8.350571915307862
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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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  This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 16.1 + Romanian speech synthesis dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0807
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+ - Wer: 8.3506
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  ## Model description
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  - total_eval_batch_size: 30
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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: 200
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+ - training_steps: 2000
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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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+ | 0.1753 | 0.22 | 250 | 0.1553 | 14.6629 |
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+ | 0.1227 | 0.43 | 500 | 0.1203 | 11.8855 |
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+ | 0.1286 | 0.65 | 750 | 0.1053 | 10.8999 |
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+ | 0.1129 | 0.86 | 1000 | 0.0969 | 10.4557 |
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+ | 0.051 | 1.08 | 1250 | 0.0882 | 9.1050 |
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+ | 0.0589 | 1.3 | 1500 | 0.0851 | 9.0138 |
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+ | 0.05 | 1.51 | 1750 | 0.0832 | 8.7795 |
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+ | 0.0492 | 1.73 | 2000 | 0.0807 | 8.3506 |
 
 
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  ### Framework versions
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@@ -1,3 +1,3 @@
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