End of training

README.md

@@ -0,0 +1,80 @@
+---
+library_name: transformers
+language:
+- dv
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_13_0
+metrics:
+- wer
+model-index:
+- name: Whisper Small Dv - Sanchit Gandhi
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 13
+      type: mozilla-foundation/common_voice_13_0
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.1355496053134889
+---
+
+<!-- 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 Dv - Sanchit Gandhi
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 13 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1733
+- Wer Ortho: 0.6320
+- Wer: 0.1355
+- Cer: 0.0969
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_warmup_steps: 50
+- training_steps: 500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer    | Cer    |
+|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:------:|
+| 0.2127        | 0.8143 | 250  | 0.2349          | 0.7317    | 0.1751 | 0.1237 |
+| 0.1203        | 1.6287 | 500  | 0.1733          | 0.6320    | 0.1355 | 0.0969 |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

generation_config.json

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+}