End of training

README.md

@@ -0,0 +1,82 @@
+---
+language:
+- hi
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_1_0
+metrics:
+- wer
+model-index:
+- name: Whisper Small EN - erenozaltun-common1
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 1.0
+      type: mozilla-foundation/common_voice_1_0
+      config: en
+      split: None
+      args: 'config: en, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 21.97714323793023
+---
+
+<!-- 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 EN - erenozaltun-common1
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 1.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3868
+- Wer: 21.9771
+
+## 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: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 2000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.1749        | 0.6588 | 500  | 0.3715          | 21.4957 |
+| 0.0885        | 1.3175 | 1000 | 0.3665          | 21.5340 |
+| 0.0905        | 1.9763 | 1500 | 0.3668          | 21.8322 |
+| 0.0387        | 2.6350 | 2000 | 0.3868          | 21.9771 |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.1.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.19.1

generation_config.json

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+  "is_multilingual": true,
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+  "transformers_version": "4.42.3"
+}

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