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vanilla-whisper-tiny_tat_evaluated_on_XYH-6-Y

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  1. README.md +8 -8
  2. config.json +1 -1
  3. model.safetensors +1 -1
  4. runs/Aug31_13-37-52_SOTA/events.out.tfevents.1725084004.SOTA.3265480.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -19,11 +19,11 @@ 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 the TAT ASR Aligned dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 1.1640
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- - eval_wer: 54.6436
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- - eval_runtime: 1001.4134
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- - eval_samples_per_second: 5.608
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- - eval_steps_per_second: 0.176
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  - step: 0
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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: 0.001
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  - train_batch_size: 64
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  - eval_batch_size: 32
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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_steps: 1362
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- - training_steps: 13620
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  - mixed_precision_training: Native AMP
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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 the TAT ASR Aligned dataset.
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  It achieves the following results on the evaluation set:
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+ - eval_loss: 0.6704
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+ - eval_cer: 12.7287
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+ - eval_runtime: 1330.4613
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+ - eval_samples_per_second: 4.221
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+ - eval_steps_per_second: 0.132
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  - step: 0
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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: 0.0001
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  - train_batch_size: 64
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  - eval_batch_size: 32
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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_steps: 681
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+ - training_steps: 6810
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  - mixed_precision_training: Native AMP
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  ### Framework versions
config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "/share/nas169/jethrowang/CADA-GAN/whisper/results/vanilla-whisper-tiny_tat/checkpoint-13620",
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  "activation_dropout": 0.0,
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  "activation_function": "gelu",
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  "apply_spec_augment": false,
 
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  {
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  "activation_dropout": 0.0,
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  "activation_function": "gelu",
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  "apply_spec_augment": false,
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