Model save

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-large
+tags:
+- generated_from_trainer
+model-index:
+- name: whisper-large-ga2en-v2.1
+  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-large-ga2en-v2.1
+
+This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on an unknown dataset.
+
+## 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: 0.0001
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 0.03
+- training_steps: 3000
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.18.0
+- Tokenizers 0.19.1

generation_config.json

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+}

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