End of training

README.md

@@ -0,0 +1,83 @@
+---
+language:
+- ro
+license: apache-2.0
+base_model: openai/whisper-base
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- iulik-pisik/audio_vreme
+metrics:
+- wer
+model-index:
+- name: Whisper Base Romanian - Vreme Florin Busuioc
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Vreme ProTv - Florin Busuioc
+      type: iulik-pisik/audio_vreme
+      config: default
+      split: None
+      args: 'config: ro, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 13.206564209429539
+---
+
+<!-- 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 Base Romanian - Vreme Florin Busuioc
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Vreme ProTv - Florin Busuioc dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2614
+- Wer: 13.2066
+
+## 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
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0152        | 7.63  | 1000 | 0.1949          | 13.7015 |
+| 0.0008        | 15.27 | 2000 | 0.2461          | 13.1545 |
+| 0.0005        | 22.9  | 3000 | 0.2565          | 13.1024 |
+| 0.0003        | 30.53 | 4000 | 0.2614          | 13.2066 |
+
+
+### Framework versions
+
+- Transformers 4.39.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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+}

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