metadata

license: mit
tags:
  - generated_from_trainer
datasets:
  - mydataset
model-index:
  - name: mydataset-repo
    results: []

mydataset-repo

This model is a fine-tuned version of SCUT-DLVCLab/lilt-roberta-en-base on the mydataset dataset. It achieves the following results on the evaluation set:

Loss: 0.0001
Answer: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1}
Question: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1}
Overall Precision: 1.0
Overall Recall: 1.0
Overall F1: 1.0
Overall Accuracy: 1.0

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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 100

Training results

Framework versions

Transformers 4.29.2
Pytorch 1.13.1
Datasets 2.12.0
Tokenizers 0.13.2