DazMashaly/output

README.md

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+---
+base_model: DazMashaly/output
+tags:
+- generated_from_trainer
+model-index:
+- name: new_downloads
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# new_downloads
+
+This model is a fine-tuned version of [DazMashaly/output](https://huggingface.co/DazMashaly/output) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 5.3543
+- eval_wer: 1.0
+- eval_cer: 1.0
+- eval_runtime: 973.8534
+- eval_samples_per_second: 2.258
+- eval_steps_per_second: 0.018
+- epoch: 4.0
+- step: 1636
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 128
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1

config.json

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+{
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+  "max_source_positions": 1500,
+  "max_target_positions": 448,
+  "median_filter_width": 7,
+  "model_type": "whisper",
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+  "vocab_size": 51865
+}

generation_config.json

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preprocessor_config.json

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+}

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