End of training

README.md

@@ -0,0 +1,77 @@
+---
+language:
+- hi
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+model-index:
+- name: Whisper Small ko-Ynormal - syp1229
+  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 Small ko-Ynormal - syp1229
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the aihub Y dialogue dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3226
+- Cer: 7.2687
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.1988        | 0.3   | 100  | 0.3257          | 8.7640 |
+| 0.1965        | 0.59  | 200  | 0.3302          | 8.6157 |
+| 0.1374        | 0.89  | 300  | 0.3257          | 9.6481 |
+| 0.0528        | 1.18  | 400  | 0.3255          | 8.6097 |
+| 0.0515        | 1.48  | 500  | 0.3126          | 8.0104 |
+| 0.0461        | 1.78  | 600  | 0.3063          | 7.9096 |
+| 0.0204        | 2.07  | 700  | 0.3209          | 7.8206 |
+| 0.0174        | 2.37  | 800  | 0.3216          | 7.6070 |
+| 0.0225        | 2.66  | 900  | 0.3095          | 7.4586 |
+| 0.0204        | 2.96  | 1000 | 0.3186          | 8.0342 |
+| 0.0048        | 3.25  | 1100 | 0.3188          | 7.6485 |
+| 0.0062        | 3.55  | 1200 | 0.3149          | 7.4586 |
+| 0.0044        | 3.85  | 1300 | 0.3156          | 7.4527 |
+| 0.0076        | 4.14  | 1400 | 0.3182          | 7.1975 |
+| 0.004         | 4.44  | 1500 | 0.3211          | 7.1738 |
+| 0.0027        | 4.73  | 1600 | 0.3226          | 7.2687 |
+
+
+### Framework versions
+
+- Transformers 4.34.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3

generation_config.json

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+}

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