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bert_peft_trainer
DanielFarfan/bert_peft_trainer
bert_peft_trainer is a machine learning model from DanielFarfan. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Jul 27, 2024
- Updated
- Jul 28, 2024
- SHA
- d7ca45a6
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. -->
bert_peft_trainer
This model is a fine-tuned version of nlptown/bert-base-multilingual-uncased-sentiment on YELP dataset. It achieves the following results on the evaluation set:
- epoch: 1.2308
- eval_accuracy: 0.6092
- eval_loss: 0.9067
- eval_runtime: 730.7208
- eval_samples_per_second: 68.426
- eval_steps_per_second: 4.277
- step: 50000
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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Framework versions
- PEFT 0.12.0
- Transformers 4.42.4
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- License
- mit
- Created
- Jul 27, 2024
- Updated
- Jul 28, 2024