PFE-IRM/Whisper-Augmented-11-latinnnn

README.md

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+---
+base_model: PFE-IRM/Whisper-IRM
+tags:
+- generated_from_trainer
+model-index:
+- name: Whisper-Augmented-11-latin
+  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. -->
+
+# Whisper-Augmented-11-latin
+
+This model is a fine-tuned version of [PFE-IRM/Whisper-IRM](https://huggingface.co/PFE-IRM/Whisper-IRM) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- epoch: 1.71
+- eval_loss: 0.1432
+- eval_runtime: 5360.4927
+- eval_samples_per_second: 2.327
+- eval_steps_per_second: 0.291
+- eval_wer: 13.1648
+- step: 4000
+
+## 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: 1.25e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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+}

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