Training in progress, step 1000

README.md

@@ -0,0 +1,63 @@
+---
+language:
+- el
+license: apache-2.0
+tags:
+- hf-asr-leaderboard, whisper-medium, mozilla-foundation/common_voice_11_0, greek,
+  whisper-event
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+model-index:
+- name: Whisper Medium El Greco
+  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 Medium El Greco
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.3854
+- eval_wer: 11.4506
+- eval_runtime: 1107.1212
+- eval_samples_per_second: 1.532
+- eval_steps_per_second: 0.096
+- epoch: 33.98
+- step: 7000
+
+## 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: 32
+- eval_batch_size: 16
+- 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: 7000
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.13.0+cu117
+- Datasets 2.7.1.dev0
+- Tokenizers 0.13.2

config.json

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