update model card README.md

README.md

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+---
+language:
+- ga-IE
+license: apache-2.0
+tags:
+- whisper-event
+- generated_from_trainer
+datasets:
+- google/fleurs
+- mozilla-foundation/common_voice_11_0
+metrics:
+- wer
+model-index:
+- name: whisper-large-v2-Irish
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: google/fleurs
+      config: ga-IE
+      split: test
+      args: ga-IE
+    metrics:
+    - name: Wer
+      type: wer
+      value: 34.26248548199768
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: FLEURS
+      type: mozilla-foundation/common_voice_11_0
+    metrics:
+    - name: Wer
+      type: wer
+      value: 34.26248548199768
+---
+
+<!-- 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-v2-Irish
+
+This model is a fine-tuned version of [kpriyanshu256/whisper-large-v2-cy-500-32-1e-05](https://huggingface.co/kpriyanshu256/whisper-large-v2-cy-500-32-1e-05) on the Common Voice 11.0 and the FLEURS datasets.
+It achieves the following results on the evaluation set:
+- Loss: 0.7879
+- Wer: 34.2625
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.3768        | 0.25  | 250  | 0.7143          | 39.4890 |
+| 0.1498        | 1.15  | 500  | 0.7663          | 35.8014 |
+| 0.0907        | 2.05  | 750  | 0.7730          | 35.2497 |
+| 0.045         | 2.3   | 1000 | 0.7879          | 34.2625 |
+
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.13.0+cu117
+- Datasets 2.7.1.dev0
+- Tokenizers 0.13.2