Training in progress, step 1000

.ipynb_checkpoints/README-checkpoint.md

@@ -0,0 +1,85 @@
+---
+language:
+- el
+license: apache-2.0
+tags:
+- whisper-event
+- generated_from_trainer
+- hf-asr-leaderboard
+datasets:
+- mozilla-foundation/common_voice_11_0
+- google/fleurs
+metrics:
+- wer
+model-index:
+- name: Whisper Medium El Greco
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_11_0
+      config: el
+      split: test
+      args: el
+    metrics:
+    - name: Wer
+      type: wer
+      value: 13.976597325408619
+---
+
+<!-- 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 - Greek One
+
+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:
+- Loss: 0.4707
+- Wer: 13.9766
+
+## 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: 20
+- eval_batch_size: 8
+- 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: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0036        | 10.01 | 1000 | 0.4461          | 15.9082 |
+| 0.0001        | 20.02 | 2000 | 0.4250          | 14.5245 |
+| 0.0           | 31.0  | 3000 | 0.4526          | 14.1902 |
+| 0.0           | 41.01 | 4000 | 0.4657          | 14.1252 |
+| 0.0           | 52.0  | 5000 | 0.4707          | 13.9766 |
+
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.13.0+cu117
+- Datasets 2.7.1.dev0
+- Tokenizers 0.13.2

README.md

@@ -5,12 +5,14 @@ license: apache-2.0
 tags:
 - whisper-event
 - generated_from_trainer
+- hf-asr-leaderboard
 datasets:
 - mozilla-foundation/common_voice_11_0
+- google/fleurs
 metrics:
 - wer
 model-index:
-- name: Whisper Medium El - Greek One
+- name: Whisper Medium El Greco
   results:
   - task:
       name: Automatic Speech Recognition
@@ -80,4 +82,4 @@ The following hyperparameters were used during training:
 - Transformers 4.26.0.dev0
 - Pytorch 1.13.0+cu117
 - Datasets 2.7.1.dev0
-- Tokenizers 0.13.2
+- Tokenizers 0.13.2

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