End of training
Browse files- README.md +70 -0
- adapter_model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: openai/whisper-large-v3
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model-index:
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- name: Modelo_3_Whisper_Large_v3_10_Epochs
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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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# Modelo_3_Whisper_Large_v3_10_Epochs
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1001
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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: 0.001
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- train_batch_size: 64
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 50
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- num_epochs: 10
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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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| 0.5337 | 1.0 | 324 | 0.3439 |
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| 0.3739 | 2.0 | 648 | 0.2438 |
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| 0.2592 | 3.0 | 972 | 0.1949 |
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| 0.1722 | 4.0 | 1296 | 0.1579 |
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| 0.0989 | 5.0 | 1620 | 0.1303 |
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| 0.0635 | 6.0 | 1944 | 0.1161 |
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| 0.0338 | 7.0 | 2268 | 0.1050 |
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| 0.0148 | 8.0 | 2592 | 0.1008 |
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| 0.0083 | 9.0 | 2916 | 0.0990 |
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| 0.0054 | 10.0 | 3240 | 0.1001 |
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### Framework versions
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- PEFT 0.7.1
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- Transformers 4.36.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.16.1
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- Tokenizers 0.15.2
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 62969640
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version https://git-lfs.github.com/spec/v1
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size 62969640
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