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End of training

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README.md CHANGED
@@ -1,8 +1,10 @@
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  ---
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  license: apache-2.0
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- base_model: openai/whisper-small
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: my_whisper
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  results: []
@@ -13,7 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # my_whisper
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- This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
 
 
 
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  ## Model description
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@@ -39,11 +44,16 @@ 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: 3
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- - training_steps: 5
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  - mixed_precision_training: Native AMP
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  ### Training results
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: openai/whisper-medium
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - wer
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  model-index:
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  - name: my_whisper
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  results: []
 
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  # my_whisper
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+ This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0000
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+ - Wer: 0.0
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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: 3
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+ - training_steps: 15
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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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+ | 1.2537 | 5.0 | 5 | 1.2684 | 62.5 |
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+ | 0.2765 | 10.0 | 10 | 0.0001 | 0.0 |
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+ | 0.0001 | 15.0 | 15 | 0.0000 | 0.0 |
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  ### Framework versions
config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "openai/whisper-large",
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  "activation_dropout": 0.0,
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  "activation_function": "gelu",
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  "apply_spec_augment": false,
@@ -13,17 +13,17 @@
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  ],
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  "bos_token_id": 50257,
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  "classifier_proj_size": 256,
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- "d_model": 1280,
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- "decoder_attention_heads": 20,
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  "dropout": 0.0,
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  [
@@ -52,7 +52,7 @@
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  "max_target_positions": 448,
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  "median_filter_width": 7,
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  "model_type": "whisper",
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- "num_hidden_layers": 32,
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  "num_mel_bins": 80,
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  "pad_token_id": 50257,
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  "scale_embedding": false,
 
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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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  "bos_token_id": 50257,
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  "classifier_proj_size": 256,
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  "dropout": 0.0,
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  "forced_decoder_ids": [
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  [
 
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  "max_target_positions": 448,
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  "median_filter_width": 7,
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  "model_type": "whisper",
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  "num_mel_bins": 80,
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  "pad_token_id": 50257,
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  "scale_embedding": false,
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