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openai-whisper-medium-LoRA32-es_ecu911
flima/openai-whisper-medium-LoRA32-es_ecu911
openai-whisper-medium-LoRA32-es_ecu911 is a machine learning model from flima. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Oct 23, 2024
- Updated
- Oct 23, 2024
- SHA
- a06ac97e
Base models
Model card
From the Hugging Face model README
<!-- 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 openai-whisper-medium-LoRA32-es_ecu911
This model is a fine-tuned version of openai/whisper-medium on the llamadas ecu9111 segmentos dmarquez dataset. It achieves the following results on the evaluation set:
- Loss: 1.5634
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: 8
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8188 | 1.0 | 53 | 1.7550 |
| 1.7311 | 2.0 | 106 | 1.6299 |
| 1.5613 | 3.0 | 159 | 1.5924 |
| 1.5461 | 4.0 | 212 | 1.5718 |
| 1.4195 | 5.0 | 265 | 1.5634 |
Framework versions
- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1
- Library
- peft
- License
- apache-2.0
- Languages
- es
- Created
- Oct 23, 2024
- Updated
- Oct 23, 2024