End of training

README.md

@@ -0,0 +1,85 @@
+---
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-tiny-fr
+  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-tiny-fr
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8198
+- Wer: 0.8502
+
+## 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: 8
+- 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: 6250
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.6223        | 1.0   | 250  | 0.7567          | 0.7225 |
+| 0.475         | 2.0   | 500  | 0.6213          | 0.5461 |
+| 0.2938        | 3.0   | 750  | 0.5860          | 0.5383 |
+| 0.1613        | 4.0   | 1000 | 0.5903          | 0.4384 |
+| 0.1026        | 5.0   | 1250 | 0.5992          | 0.4451 |
+| 0.0615        | 6.0   | 1500 | 0.6322          | 0.5383 |
+| 0.0422        | 7.0   | 1750 | 0.6398          | 0.4373 |
+| 0.019         | 8.0   | 2000 | 0.6682          | 0.5239 |
+| 0.0125        | 9.0   | 2250 | 0.6980          | 0.6681 |
+| 0.0069        | 10.0  | 2500 | 0.7335          | 0.8679 |
+| 0.0039        | 11.0  | 2750 | 0.7354          | 0.6238 |
+| 0.0026        | 12.0  | 3000 | 0.7458          | 0.6315 |
+| 0.0021        | 13.0  | 3250 | 0.7599          | 0.6715 |
+| 0.0018        | 14.0  | 3500 | 0.7682          | 0.7103 |
+| 0.0015        | 15.0  | 3750 | 0.7750          | 0.7081 |
+| 0.0013        | 16.0  | 4000 | 0.7846          | 0.7125 |
+| 0.0012        | 17.0  | 4250 | 0.7897          | 0.7114 |
+| 0.001         | 18.0  | 4500 | 0.7962          | 0.9345 |
+| 0.0009        | 19.0  | 4750 | 0.8001          | 0.7170 |
+| 0.0009        | 20.0  | 5000 | 0.8074          | 0.8335 |
+| 0.0008        | 21.0  | 5250 | 0.8107          | 0.8424 |
+| 0.0007        | 22.0  | 5500 | 0.8152          | 0.8402 |
+| 0.0007        | 23.0  | 5750 | 0.8181          | 0.8446 |
+| 0.0007        | 24.0  | 6000 | 0.8187          | 0.8479 |
+| 0.0007        | 25.0  | 6250 | 0.8198          | 0.8502 |
+
+
+### Framework versions
+
+- Transformers 4.32.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3

generation_config.json

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+}

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