Model save

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-large-v2
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-large-v2-custom-hi
+  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-v2-custom-hi
+
+This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3389
+- Wer: 0.2186
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- training_steps: 5000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.0523        | 2.44  | 500  | 0.2123          | 0.2664 |
+| 0.0187        | 4.89  | 1000 | 0.2237          | 0.2370 |
+| 0.0041        | 7.33  | 1500 | 0.2647          | 0.2310 |
+| 0.0028        | 9.78  | 2000 | 0.2904          | 0.2344 |
+| 0.0015        | 12.22 | 2500 | 0.2908          | 0.2268 |
+| 0.0003        | 14.67 | 3000 | 0.3022          | 0.2197 |
+| 0.0003        | 17.11 | 3500 | 0.3249          | 0.2195 |
+| 0.0003        | 19.56 | 4000 | 0.3217          | 0.2161 |
+| 0.0           | 22.0  | 4500 | 0.3335          | 0.2181 |
+| 0.0           | 24.45 | 5000 | 0.3389          | 0.2186 |
+
+
+### Framework versions
+
+- Transformers 4.33.0.dev0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.4
+- Tokenizers 0.13.3

generation_config.json

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+}