StefanJevtic63 commited on
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End of training

Browse files
README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1228
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  ## Model description
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@@ -46,7 +46,7 @@ The following hyperparameters were used during training:
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 400
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- - training_steps: 4000
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  - mixed_precision_training: Native AMP
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  ### Training results
@@ -61,6 +61,8 @@ The following hyperparameters were used during training:
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  | 0.1148 | 0.4228 | 3000 | 0.1313 |
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  | 0.1128 | 0.4933 | 3500 | 0.1264 |
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  | 0.1277 | 0.5638 | 4000 | 0.1228 |
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1714
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  ## Model description
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 400
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+ - training_steps: 12000
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  - mixed_precision_training: Native AMP
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  ### Training results
 
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  | 0.1148 | 0.4228 | 3000 | 0.1313 |
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  | 0.1128 | 0.4933 | 3500 | 0.1264 |
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  | 0.1277 | 0.5638 | 4000 | 0.1228 |
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+ | 0.1851 | 0.6342 | 4500 | 0.1940 |
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+ | 0.1678 | 0.7047 | 5000 | 0.1714 |
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  ### Framework versions
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