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robertolli
Aadithyak/robertolli
robertolli is a machine learning model from Aadithyak. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Sep 23, 2024
- Updated
- Sep 24, 2024
- SHA
- 68d47386
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. -->
robertolli
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 3.2551
- eval_accuracy: 0.0415
- eval_f1: 0.0033
- eval_runtime: 1781.7772
- eval_samples_per_second: 58.722
- eval_steps_per_second: 0.196
- step: 0
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: 5e-05
- train_batch_size: 300
- eval_batch_size: 300
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 600
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 7
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- roberta
- License
- mit
- Created
- Sep 23, 2024
- Updated
- Sep 24, 2024