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End of training

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  1. README.md +53 -0
  2. config.json +1 -1
  3. generation_config.json +9 -0
  4. training_args.bin +1 -1
README.md ADDED
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+ ---
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+ library_name: transformers
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+ language:
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+ - fa
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+ base_model: hajar817/whisper_tiny_fa_cv13
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - google/fleurs
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+ model-index:
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+ - name: Erfan97/whisper-tiny_fa_fleurs
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+ results: []
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+ ---
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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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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # Erfan97/whisper-tiny_fa_fleurs
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+
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+ This model is a fine-tuned version of [hajar817/whisper_tiny_fa_cv13](https://huggingface.co/hajar817/whisper_tiny_fa_cv13) on the google/fleurs dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 6.15044e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use 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: 500
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+ - training_steps: 6000
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+ - mixed_precision_training: Native AMP
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+
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+ ### Framework versions
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+
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+ - Transformers 4.47.1
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+ - Pytorch 2.5.1+cu121
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+ - Tokenizers 0.21.0
config.json CHANGED
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  {
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- "_name_or_path": "Erfan97/whisper-tiny_fa_fleurs",
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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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+ "_name_or_path": "Erfan97/whisper-tiny_fa_fleur",
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  "activation_dropout": 0.0,
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  "activation_function": "gelu",
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  "apply_spec_augment": false,
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "bos_token_id": 50257,
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+ "decoder_start_token_id": 50258,
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+ "eos_token_id": 50257,
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+ "pad_token_id": 50257,
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+ "transformers_version": "4.47.1",
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+ "use_cache": false
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+ }
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