rhythm00/finetune-rut5-base-comments
06
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finetunet5basehackprefix
This model is a fine-tuned version of cointegrated/rut5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4665
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: 0.0004
- trainbatchsize: 8
- evalbatchsize: 8
- seed: 42
- gradientaccumulationsteps: 32
- totaltrainbatch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: linear
- lrschedulerwarmup_steps: 100
- num_epochs: 8
Training results
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0