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-Yspeed
+  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-Yspeed
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the aihub old50 adult freq speed pause changed dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2665
+- Cer: 6.9314
+
+## 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    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 0.2702        | 0.1289 | 100  | 0.2968          | 8.0592 |
+| 0.145         | 0.2579 | 200  | 0.2709          | 7.3661 |
+| 0.1116        | 0.3868 | 300  | 0.2877          | 7.8242 |
+| 0.1197        | 0.5158 | 400  | 0.2675          | 7.1781 |
+| 0.0991        | 0.6447 | 500  | 0.2769          | 7.5540 |
+| 0.0936        | 0.7737 | 600  | 0.2747          | 7.3543 |
+| 0.0992        | 0.9026 | 700  | 0.2670          | 7.0841 |
+| 0.0401        | 1.0309 | 800  | 0.2636          | 8.5468 |
+| 0.0292        | 1.1599 | 900  | 0.2653          | 6.8080 |
+| 0.0392        | 1.2888 | 1000 | 0.2651          | 7.0312 |
+| 0.0324        | 1.4178 | 1100 | 0.2712          | 7.0430 |
+| 0.0388        | 1.5467 | 1200 | 0.2690          | 7.0254 |
+| 0.0313        | 1.6757 | 1300 | 0.2674          | 7.0195 |
+| 0.0321        | 1.8046 | 1400 | 0.2647          | 7.0019 |
+| 0.0322        | 1.9336 | 1500 | 0.2665          | 6.9314 |
+
+
+### Framework versions
+
+- Transformers 4.47.0.dev0
+- Pytorch 2.5.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

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+  "transformers_version": "4.47.0.dev0"
+}

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