End of training

README.md

@@ -0,0 +1,66 @@
+---
+library_name: transformers
+language:
+- en
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: sumukhshadakshari/whisper-finetuned-bial2
+  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. -->
+
+# sumukhshadakshari/whisper-finetuned-bial2
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the bial2 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.0038
+- Wer: 187.9253
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 5
+- training_steps: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer      |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| No log        | 0.0389 | 10   | 3.8057          | 167.1623 |
+| No log        | 0.0778 | 20   | 3.0038          | 187.9253 |
+
+
+### Framework versions
+
+- Transformers 4.44.1
+- Pytorch 2.4.1
+- Datasets 2.19.1
+- Tokenizers 0.19.1

generation_config.json

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+  "transformers_version": "4.44.1"
+}

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