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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