End of training

README.md

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+---
+library_name: peft
+language:
+- sr
+license: apache-2.0
+base_model: openai/whisper-large-v2
+tags:
+- generated_from_trainer
+model-index:
+- name: Whisper - Serbian Model
+  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 - Serbian Model
+
+This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1228
+
+## 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: 0.0009
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 400
+- training_steps: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.1206        | 0.0705 | 500  | 0.1705          |
+| 0.1162        | 0.1409 | 1000 | 0.1626          |
+| 0.1189        | 0.2114 | 1500 | 0.1548          |
+| 0.117         | 0.2819 | 2000 | 0.1467          |
+| 0.1117        | 0.3524 | 2500 | 0.1386          |
+| 0.1148        | 0.4228 | 3000 | 0.1313          |
+| 0.1128        | 0.4933 | 3500 | 0.1264          |
+| 0.1277        | 0.5638 | 4000 | 0.1228          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.3
+- Pytorch 2.5.1
+- Datasets 3.0.0
+- Tokenizers 0.20.3

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