End of training

README.md

@@ -0,0 +1,72 @@
+---
+library_name: transformers
+license: mit
+base_model: openai/whisper-large-v3-turbo
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-medium-CAENNAIS
+  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. -->
+
+# whisper-medium-CAENNAIS
+
+This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5740
+- Wer: 26.7396
+
+## 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: 32
+- eval_batch_size: 16
+- seed: 42
+- 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: 500
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| No log        | 1.0   | 56   | 0.7664          | 33.4990 |
+| No log        | 2.0   | 112  | 0.4936          | 28.0649 |
+| No log        | 3.0   | 168  | 0.4702          | 23.7906 |
+| No log        | 4.0   | 224  | 0.4987          | 28.4957 |
+| No log        | 5.0   | 280  | 0.4999          | 23.7575 |
+| No log        | 6.0   | 336  | 0.5567          | 25.3810 |
+| No log        | 7.0   | 392  | 0.5685          | 23.4924 |
+| No log        | 8.0   | 448  | 0.5738          | 25.0497 |
+| 0.3662        | 9.0   | 504  | 0.6081          | 24.6852 |
+| 0.3662        | 10.0  | 560  | 0.5740          | 26.7396 |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.0

generation_config.json

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+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "is_multilingual": true,
+  "lang_to_id": {
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+  "task_to_id": {
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+  "transformers_version": "4.46.2"
+}

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