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-E10_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-E10_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: 0.2307
+- Cer: 6.8961
+
+## 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    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 0.2656        | 0.1289 | 100  | 0.2723          | 6.9431 |
+| 0.1355        | 0.2579 | 200  | 0.2556          | 6.6494 |
+| 0.1474        | 0.3868 | 300  | 0.2533          | 6.7904 |
+| 0.1083        | 0.5158 | 400  | 0.2456          | 6.5907 |
+| 0.1041        | 0.6447 | 500  | 0.2498          | 6.9196 |
+| 0.0855        | 0.7737 | 600  | 0.2418          | 6.7082 |
+| 0.0836        | 0.9026 | 700  | 0.2370          | 6.3675 |
+| 0.0336        | 1.0309 | 800  | 0.2376          | 6.3440 |
+| 0.0305        | 1.1599 | 900  | 0.2352          | 6.3910 |
+| 0.0274        | 1.2888 | 1000 | 0.2374          | 6.1266 |
+| 0.0305        | 1.4178 | 1100 | 0.2336          | 7.0019 |
+| 0.0324        | 1.5467 | 1200 | 0.2371          | 7.0371 |
+| 0.0295        | 1.6757 | 1300 | 0.2356          | 7.5364 |
+| 0.0306        | 1.8046 | 1400 | 0.2326          | 7.1840 |
+| 0.0341        | 1.9336 | 1500 | 0.2307          | 6.8961 |
+
+
+### 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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