End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_17_0
+metrics:
+- wer
+model-index:
+- name: ASR-Swahili-Small
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_17_0
+      type: common_voice_17_0
+      config: sw
+      split: test
+      args: sw
+    metrics:
+    - name: Wer
+      type: wer
+      value: 84.53159041394336
+---
+
+<!-- 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. -->
+
+# ASR-Swahili-Small
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_17_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.1924
+- Model Preparation Time: 0.0031
+- Wer: 84.5316
+
+## 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: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Use OptimizerNames.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: 9
+- training_steps: 50
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Wer      |
+|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:--------:|
+| 3.1114        | 0.8   | 5    | 2.9104          | 0.0031                 | 166.1220 |
+| 2.2525        | 1.48  | 10   | 2.5527          | 0.0031                 | 158.0610 |
+| 1.7605        | 2.16  | 15   | 2.3120          | 0.0031                 | 91.3943  |
+| 1.4119        | 2.96  | 20   | 2.1924          | 0.0031                 | 84.5316  |
+| 0.8848        | 3.64  | 25   | 2.1669          | 0.0031                 | 90.5229  |
+| 0.6686        | 4.32  | 30   | 2.1691          | 0.0031                 | 91.8301  |
+| 0.6033        | 5.0   | 35   | 2.1739          | 0.0031                 | 92.0479  |
+| 0.5102        | 5.8   | 40   | 2.1936          | 0.0031                 | 85.2941  |
+| 0.3635        | 6.48  | 45   | 2.1937          | 0.0031                 | 85.2941  |
+| 0.3227        | 7.16  | 50   | 2.1962          | 0.0031                 | 89.2157  |
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.6.0+cu124
+- Datasets 3.3.1
+- Tokenizers 0.21.0

generation_config.json

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+  "is_multilingual": true,
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+  "transformers_version": "4.49.0"
+}

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