End of training

README.md

@@ -0,0 +1,81 @@
+---
+language:
+- hu
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Whisper Tiny Hu v2
+  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 Tiny Hu v2
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 16.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1930
+- Wer Ortho: 17.3040
+- Wer: 15.7367
+
+## 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: 4e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_warmup_steps: 500
+- training_steps: 15000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer Ortho | Wer     |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:-------:|
+| 0.5487        | 0.33  | 1000  | 0.5970          | 55.5492   | 52.2206 |
+| 0.3922        | 0.67  | 2000  | 0.4419          | 43.1109   | 39.9911 |
+| 0.3242        | 1.0   | 3000  | 0.3662          | 37.2727   | 34.2040 |
+| 0.2517        | 1.34  | 4000  | 0.3329          | 33.7890   | 30.8746 |
+| 0.2455        | 1.67  | 5000  | 0.2925          | 30.6185   | 28.0196 |
+| 0.1398        | 2.01  | 6000  | 0.2600          | 27.1709   | 24.5983 |
+| 0.1421        | 2.34  | 7000  | 0.2491          | 26.1291   | 23.6347 |
+| 0.1578        | 2.68  | 8000  | 0.2342          | 24.4761   | 22.0783 |
+| 0.0732        | 3.01  | 9000  | 0.2163          | 22.1245   | 19.8547 |
+| 0.0941        | 3.35  | 10000 | 0.2143          | 22.2058   | 19.8399 |
+| 0.0936        | 3.68  | 11000 | 0.2094          | 20.5980   | 18.7756 |
+| 0.0489        | 4.02  | 12000 | 0.2027          | 18.9630   | 17.2665 |
+| 0.0548        | 4.35  | 13000 | 0.1981          | 18.4933   | 16.5491 |
+| 0.0585        | 4.69  | 14000 | 0.1953          | 17.7195   | 15.7693 |
+| 0.0356        | 5.02  | 15000 | 0.1930          | 17.3040   | 15.7367 |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

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