Model save

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-large
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: output_large
+  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. -->
+
+# output_large
+
+This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6419
+- Wer: 25.1240
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 2
+- training_steps: 50
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| No log        | 0.45  | 10   | 0.8644          | 49.3460 |
+| No log        | 0.91  | 20   | 0.7146          | 28.9581 |
+| 0.8368        | 1.36  | 30   | 0.6654          | 25.4849 |
+| 0.8368        | 1.82  | 40   | 0.6558          | 25.2143 |
+| 0.3123        | 2.27  | 50   | 0.6419          | 25.1240 |
+
+
+### Framework versions
+
+- Transformers 4.40.0.dev0
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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+  ],
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+  "forced_decoder_ids": [
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+    [
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+  ],
+  "is_multilingual": true,
+  "lang_to_id": {
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+  "transformers_version": "4.40.0.dev0"
+}

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