roberta-base-finetuned-imdb

This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.1727
• Model Preparation Time: 0.0028

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 1.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time
1.1720	0.1257	157	1.0861	0.0028
0.7841	0.2514	314	1.1103	0.0028
0.8222	0.3771	471	1.1378	0.0028
0.8288	0.5028	628	1.1582	0.0028
0.2898	0.6285	785	1.1622	0.0028
0.4641	0.7542	942	1.1674	0.0028
0.3143	0.8799	1099	1.1747	0.0028
0.4767	1.0	1249	1.1682	0.0028

Framework versions

• Transformers 5.10.2
• Pytorch 2.11.0+cu128
• Datasets 4.0.0
• Tokenizers 0.22.2