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feat: add all check points and runs

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  1. README.md +83 -0
  2. added_tokens.json +109 -0
  3. all_results.json +12 -0
  4. checkpoint-100/config.json +41 -0
  5. checkpoint-100/optimizer.pt +3 -0
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  50. eval_results.json +8 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - whisper-event
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+ - generated_from_trainer
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+ datasets:
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+ - google/fleurs
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: Whisper Medium Pashto
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+ results:
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+ - task:
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+ name: Automatic Speech Recognition
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+ type: automatic-speech-recognition
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+ dataset:
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+ name: google/fleurs ps_af
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+ type: google/fleurs
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+ config: ps_af
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+ split: test
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+ args: ps_af
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 50.6431598062954
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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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+ # Whisper Medium Pashto
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+
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+ This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the google/fleurs ps_af dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.2950
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+ - Wer: 50.6432
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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: 1e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 64
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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: 50
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+ - training_steps: 500
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|
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+ | 0.0139 | 14.29 | 100 | 1.0302 | 50.1211 |
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+ | 0.0011 | 28.57 | 200 | 1.2129 | 49.7806 |
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+ | 0.0008 | 42.86 | 300 | 1.2581 | 50.3178 |
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+ | 0.0007 | 57.14 | 400 | 1.2850 | 50.5524 |
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+ | 0.0007 | 71.43 | 500 | 1.2950 | 50.6432 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.26.0.dev0
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+ - Pytorch 1.13.0+cu117
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+ - Datasets 2.7.1.dev0
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+ - Tokenizers 0.13.2
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