End of training

README.md

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+---
+library_name: transformers
+language:
+- sr
+license: mit
+base_model: openai/whisper-large-v3-turbo
+tags:
+- generated_from_trainer
+datasets:
+- espnet/yodas
+metrics:
+- wer
+model-index:
+- name: Whisper Large v3 Turbo Sr Test
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Yodas
+      type: espnet/yodas
+      config: sr
+      split: None
+      args: sr
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.1377668019050979
+---
+
+<!-- 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 v3 Turbo Sr Test
+
+This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the Yodas dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1195
+- Wer: 0.1378
+
+## 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    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 0.6455        | 0.2439 | 500  | 0.1869          | 0.1928 |
+| 0.5858        | 0.4878 | 1000 | 0.1694          | 0.1870 |
+| 0.5608        | 0.7317 | 1500 | 0.1507          | 0.1641 |
+| 0.4547        | 0.9756 | 2000 | 0.1388          | 0.1542 |
+| 0.3905        | 1.2195 | 2500 | 0.1341          | 0.1461 |
+| 0.3857        | 1.4634 | 3000 | 0.1291          | 0.1450 |
+| 0.3656        | 1.7073 | 3500 | 0.1243          | 0.1415 |
+| 0.3369        | 1.9512 | 4000 | 0.1195          | 0.1378 |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.0
+- Tokenizers 0.20.3

generation_config.json

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+      4
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+    [
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+    [
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+    ],
+    [
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+    [
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+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "is_multilingual": true,
+  "lang_to_id": {
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+  "language": "serbian",
+  "max_initial_timestamp_index": 50,
+  "max_length": 448,
+  "no_timestamps_token_id": 50364,
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+  "task": "transcribe",
+  "task_to_id": {
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+    "translate": 50359
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+  "transformers_version": "4.45.2"
+}