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Model: Sandiago21/whisper-large-v2-greek
Source: Original Platform

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- fleurs
+metrics:
+- wer
+base_model: openai/whisper-large-v2
+model-index:
+- name: whisper-large-v2-greek
+  results:
+  - task:
+      type: automatic-speech-recognition
+      name: Automatic Speech Recognition
+    dataset:
+      name: fleurs
+      type: fleurs
+      config: el_gr
+      split: test
+      args: el_gr
+    metrics:
+    - type: wer
+      value: 0.17739223993006523
+      name: Wer
+---
+
+<!-- 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-greek
+
+This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the fleurs dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2734
+- Wer Ortho: 0.2102
+- Wer: 0.1774
+
+## 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: 2e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
+| 0.1809        | 1.0   | 274  | 0.2244          | 0.2261    | 0.1947 |
+| 0.0977        | 2.0   | 549  | 0.2306          | 0.2204    | 0.1856 |
+| 0.0594        | 3.0   | 824  | 0.2332          | 0.2137    | 0.1814 |
+| 0.0454        | 4.0   | 1099 | 0.2667          | 0.2315    | 0.1985 |
+| 0.028         | 5.0   | 1374 | 0.2579          | 0.2151    | 0.1822 |
+| 0.022         | 6.0   | 1649 | 0.2674          | 0.2188    | 0.1863 |
+| 0.0202        | 6.98  | 1918 | 0.2734          | 0.2102    | 0.1774 |
+
+
+### Framework versions
+
+- Transformers 4.30.0.dev0
+- Pytorch 2.0.1+cu117
+- Datasets 2.13.1
+- Tokenizers 0.13.3