metadata
license: mit
tags:
- generated_from_trainer
model-index:
- name: finetuning-sentiment-model-deberta
results: []
finetuning-sentiment-model-deberta
This model is a fine-tuned version of yangheng/deberta-v3-base-absa-v1.1 on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.5697
- eval_accuracy: 0.7219
- eval_runtime: 3.6045
- eval_samples_per_second: 130.668
- eval_steps_per_second: 8.323
- 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: 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: 10
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.2