metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: deberta_finetune
results: []
deberta_finetune
This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.3943
- eval_accuracy: 0.8673
- eval_runtime: 164.2323
- eval_samples_per_second: 29.178
- eval_steps_per_second: 1.827
- epoch: 2.0
- step: 4164
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: 2e-05
- 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: 3
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2