End of training

README.md

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+---
+library_name: transformers
+language:
+- hi
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- aihub_adult_baseline
+model-index:
+- name: whisper-small-Ypause_speed
+  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-Ypause_speed
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the aihub old adult freq speed pause changed dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3047
+- Cer: 7.9828
+
+## 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: 2
+- total_train_batch_size: 16
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Cer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 0.2579        | 0.1290 | 100  | 0.2921          | 8.2472 |
+| 0.146         | 0.2581 | 200  | 0.2830          | 7.6833 |
+| 0.1177        | 0.3871 | 300  | 0.2817          | 7.6245 |
+| 0.1107        | 0.5161 | 400  | 0.2889          | 8.1708 |
+| 0.082         | 0.6452 | 500  | 0.2890          | 7.9359 |
+| 0.0908        | 0.7742 | 600  | 0.2859          | 7.6833 |
+| 0.0866        | 0.9032 | 700  | 0.2916          | 7.8889 |
+| 0.0331        | 1.0323 | 800  | 0.3022          | 8.0768 |
+| 0.0275        | 1.1613 | 900  | 0.2975          | 7.8184 |
+| 0.0297        | 1.2903 | 1000 | 0.2896          | 7.5129 |
+| 0.0311        | 1.4194 | 1100 | 0.3048          | 8.0063 |
+| 0.0221        | 1.5484 | 1200 | 0.3129          | 8.1238 |
+| 0.0243        | 1.6774 | 1300 | 0.3015          | 7.8419 |
+| 0.025         | 1.8065 | 1400 | 0.3026          | 7.9006 |
+| 0.0239        | 1.9355 | 1500 | 0.3047          | 7.9828 |
+
+
+### Framework versions
+
+- Transformers 4.47.0.dev0
+- Pytorch 2.5.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

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+}

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