End of training

README.md

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+---
+license: apache-2.0
+base_model: byoussef/whisper-large-v2-Ko
+tags:
+- generated_from_trainer
+model-index:
+- name: trained_model
+  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. -->
+
+# trained_model
+
+This model is a fine-tuned version of [byoussef/whisper-large-v2-Ko](https://huggingface.co/byoussef/whisper-large-v2-Ko) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5559
+- Cer: 27.1916
+
+## 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: 1
+- eval_batch_size: 1
+- 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: 17460
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Cer     | Validation Loss |
+|:-------------:|:-----:|:-----:|:-------:|:---------------:|
+| 1.2023        | 0.44  | 1000  | 61.2630 | 1.0742          |
+| 1.1553        | 0.89  | 2000  | 48.5561 | 0.9965          |
+| 0.5591        | 1.33  | 3000  | 41.7970 | 1.0181          |
+| 0.4999        | 1.78  | 4000  | 42.4589 | 0.9979          |
+| 0.3963        | 2.22  | 5000  | 56.0316 | 1.0151          |
+| 0.1948        | 2.67  | 6000  | 39.5938 | 1.0179          |
+| 0.8484        | 3.11  | 7000  | 42.2062 | 0.8630          |
+| 0.4461        | 3.56  | 8000  | 41.4453 | 0.8244          |
+| 0.5309        | 4.0   | 9000  | 38.5052 | 0.7959          |
+| 0.4761        | 4.44  | 10000 | 0.5227  | 31.4439         |
+| 0.5826        | 4.89  | 11000 | 0.5017  | 32.8738         |
+| 0.2989        | 5.33  | 12000 | 0.5057  | 29.9159         |
+| 0.2387        | 5.78  | 13000 | 0.5043  | 30.0935         |
+| 0.079         | 6.22  | 14000 | 0.5264  | 35.1729         |
+| 0.19          | 6.67  | 15000 | 0.5234  | 27.0327         |
+| 0.1049        | 7.11  | 16000 | 0.5564  | 27.4953         |
+| 0.0449        | 7.56  | 17000 | 0.5559  | 27.1916         |
+
+
+### Framework versions
+
+- Transformers 4.37.0.dev0
+- Pytorch 2.1.0+cu118
+- Datasets 2.16.1
+- Tokenizers 0.15.0

config.json

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+{
+  "_name_or_path": "byoussef/whisper-large-v2-Ko",
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "apply_spec_augment": false,
+  "architectures": [
+    "WhisperForConditionalGeneration"
+  ],
+  "attention_dropout": 0.0,
+  "begin_suppress_tokens": [
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+  ],
+  "bos_token_id": 50257,
+  "classifier_proj_size": 256,
+  "d_model": 1280,
+  "decoder_attention_heads": 20,
+  "decoder_ffn_dim": 5120,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 32,
+  "decoder_start_token_id": 50258,
+  "dropout": 0.0,
+  "encoder_attention_heads": 20,
+  "encoder_ffn_dim": 5120,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 32,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": null,
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "mask_feature_length": 10,
+  "mask_feature_min_masks": 0,
+  "mask_feature_prob": 0.0,
+  "mask_time_length": 10,
+  "mask_time_min_masks": 2,
+  "mask_time_prob": 0.05,
+  "max_length": 448,
+  "max_source_positions": 1500,
+  "max_target_positions": 448,
+  "median_filter_width": 7,
+  "model_type": "whisper",
+  "num_hidden_layers": 32,
+  "num_mel_bins": 80,
+  "pad_token_id": 50257,
+  "scale_embedding": false,
+  "suppress_tokens": [],
+  "torch_dtype": "float32",
+  "transformers_version": "4.37.0.dev0",
+  "use_cache": false,
+  "use_weighted_layer_sum": false,
+  "vocab_size": 51865
+}

generation_config.json

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