roberta-base-IMDB_roberta

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.1897

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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 16

Training results

Training Loss	Epoch	Step	Validation Loss
2.7882	1.0	1250	2.4751
2.5749	2.0	2500	2.4183
2.4501	3.0	3750	2.3799
2.3697	4.0	5000	2.3792
2.3187	5.0	6250	2.3622
2.24	6.0	7500	2.3491
2.164	7.0	8750	2.3146
2.1187	8.0	10000	2.2804
2.0552	9.0	11250	2.2629
2.0285	10.0	12500	2.2088
1.9807	11.0	13750	2.2061
1.9597	12.0	15000	2.2094
1.9062	13.0	16250	2.1486
1.8766	14.0	17500	2.1348
1.8528	15.0	18750	2.1665
1.8425	16.0	20000	2.1897

Framework versions

• Transformers 4.21.1
• Pytorch 1.12.1+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1