End of training

README.md

@@ -0,0 +1,81 @@
+---
+library_name: transformers
+language:
+- fr
+license: mit
+base_model: bofenghuang/whisper-large-v3-french
+tags:
+- generated_from_trainer
+datasets:
+- PraxySante/PxCorpus-PxSLU
+metrics:
+- wer
+model-index:
+- name: Whisper Large v3 French PxCorpus - Fine-tuning test
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: PxCorpus PxSLU
+      type: PraxySante/PxCorpus-PxSLU
+      args: 'config: fr, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 4.112554112554113
+---
+
+<!-- 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 Large v3 French PxCorpus - Fine-tuning test
+
+This model is a fine-tuned version of [bofenghuang/whisper-large-v3-french](https://huggingface.co/bofenghuang/whisper-large-v3-french) on the PxCorpus PxSLU dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1903
+- Wer: 4.1126
+
+## 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: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer    |
+|:-------------:|:-------:|:----:|:---------------:|:------:|
+| 0.0016        | 8.1967  | 1000 | 0.1864          | 5.1948 |
+| 0.0003        | 16.3934 | 2000 | 0.1773          | 5.1948 |
+| 0.0001        | 24.5902 | 3000 | 0.1860          | 4.1126 |
+| 0.0           | 32.7869 | 4000 | 0.1903          | 4.1126 |
+
+
+### Framework versions
+
+- Transformers 4.44.1
+- Pytorch 2.4.0+cu124
+- Datasets 2.21.0
+- Tokenizers 0.19.1

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+  "is_multilingual": true,
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+  "language": "french",
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+  "task_to_id": {
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+  "transformers_version": "4.44.1"
+}

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