update model card README.md

README.md

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+---
+language:
+- br
+license: apache-2.0
+tags:
+- whisper-event
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+metrics:
+- wer
+model-index:
+- name: openai/whisper-large-v2-breton
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_11_0
+      config: br
+      split: test
+      args: br
+    metrics:
+    - name: Wer
+      type: wer
+      value: 39.92705800625217
+---
+
+<!-- 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. -->
+
+# openai/whisper-large-v2-breton
+
+This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7162
+- Wer: 39.9271
+
+## 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
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- training_steps: 1000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.7423        | 0.1   | 100  | 0.8363          | 57.1553 |
+| 0.4361        | 1.07  | 200  | 0.6833          | 46.7176 |
+| 0.2227        | 2.03  | 300  | 0.6483          | 42.5929 |
+| 0.1472        | 3.0   | 400  | 0.6511          | 42.4627 |
+| 0.0892        | 3.1   | 500  | 0.6633          | 40.9604 |
+| 0.0651        | 4.07  | 600  | 0.6807          | 39.7534 |
+| 0.0416        | 5.04  | 700  | 0.6870          | 41.2383 |
+| 0.0352        | 6.0   | 800  | 0.7315          | 39.9010 |
+| 0.022         | 6.1   | 900  | 0.7201          | 40.4307 |
+| 0.0195        | 7.07  | 1000 | 0.7162          | 39.9271 |
+
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.13.0+cu117
+- Datasets 2.7.1.dev0
+- Tokenizers 0.13.2