This model is a fine-tuned version of judy93536/distilroberta-pr200k-ep20 on the ag_news dataset. It achieves the following results on the evaluation set:

Loss: 0.1707
Accuracy: 0.9436

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: 4.545606711088675e-05
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.28
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1821	1.0	3750	0.1707	0.9436

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

judy93536/distilroberta-pr200k-ep20-ag_news

distilroberta-pr200k-ep20-ag_news

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

judy93536/
distilroberta-pr200k-ep20-ag_news