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README.md

@@ -1,66 +1,28 @@
 ---
-library_name: transformers
-license: apache-2.0
-base_model: openai/whisper-tiny
-tags:
-- generated_from_trainer
-metrics:
-- wer
-model-index:
-- name: local_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. -->
-
-# local_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: 2.4986
-- Model Preparation Time: 0.0006
-- Wer: 75.0
-
-## 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: 64
-- eval_batch_size: 8
-- 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: 50
-- training_steps: 20
+    ---
+    base_model: openai/whisper-tiny
+datasets:
+- local_data
+language: fr
+metrics:
+- wer
+    ---
 
-### Training results
+    # Finetuned version of openai/whisper-tiny on 8 French training audio samples from local_data.
 
-| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Wer  |
-|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:----:|
-| 1.9152        | 5.0   | 5    | 2.4986          | 0.0006                 | 75.0 |
-| 1.7317        | 10.0  | 10   | 2.4449          | 0.0006                 | 75.0 |
-| 1.4026        | 15.0  | 15   | 2.3783          | 0.0006                 | 85.0 |
-| 1.0429        | 20.0  | 20   | 2.3206          | 0.0006                 | 90.0 |
+    This model was created from the Mozilla.ai Blueprint:
+    [speech-to-text-finetune](https://github.com/mozilla-ai/speech-to-text-finetune).
 
+    ## Evaluation results on 2 audio samples of French
 
-### Framework versions
+    ### Baseline model (before finetuning) on French
+    - Word Error Rate: 75.0
+    - Loss: 2.516
 
-- Transformers 4.46.1
-- Pytorch 2.5.1
-- Datasets 3.2.0
-- Tokenizers 0.20.3
+    ### Finetuned model (after finetuning) on French
+    - Word Error Rate: 75.0
+    - Loss: 2.499
+