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End of training
Browse files- README.md +70 -0
- adapter_model.bin +1 -1
README.md
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---
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library_name: peft
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language:
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- sr
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license: apache-2.0
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base_model: openai/whisper-large-v2
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tags:
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- generated_from_trainer
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model-index:
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- name: Whisper - Serbian Model
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Whisper - Serbian Model
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1707
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0005
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- train_batch_size: 4
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 400
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- training_steps: 4000
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.2354 | 0.0088 | 500 | 0.2467 |
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| 0.195 | 0.0176 | 1000 | 0.2312 |
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| 0.1977 | 0.0264 | 1500 | 0.2173 |
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| 0.178 | 0.0352 | 2000 | 0.2052 |
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| 0.1676 | 0.0440 | 2500 | 0.1929 |
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| 0.2103 | 0.0529 | 3000 | 0.1852 |
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| 0.1675 | 0.0617 | 3500 | 0.1755 |
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| 0.1888 | 0.0705 | 4000 | 0.1707 |
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### Framework versions
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- PEFT 0.13.2
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- Transformers 4.46.3
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- Pytorch 2.5.1
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- Datasets 3.0.0
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- Tokenizers 0.20.3
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 63056714
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version https://git-lfs.github.com/spec/v1
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oid sha256:7857349dabc60ba5528ae0da744e27bed2f6d7ba5169b57dc4d7715b289f73a4
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size 63056714
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