roberta-base-finetuned-multirc

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: 0.6277
• Model Preparation Time: 0.005
• Accuracy: 0.6743
• F1: 0.6576

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: 1e-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	Accuracy	F1
0.8163	0.1000	259	0.6844	0.005	0.5692	0.0
0.7147	0.2001	518	0.6910	0.005	0.5692	0.0
0.7018	0.3001	777	0.6948	0.005	0.4308	0.6022
0.7104	0.4002	1036	0.6954	0.005	0.4628	0.6063
0.6323	0.5002	1295	0.6532	0.005	0.6276	0.6034
0.5122	0.6002	1554	0.6277	0.005	0.6641	0.6160
0.5122	0.7003	1813	0.6285	0.005	0.6705	0.6389
0.6037	0.8003	2072	0.6377	0.005	0.6614	0.6474
0.7200	0.9003	2331	0.6052	0.005	0.6852	0.6364
0.5073	1.0	2589	0.6277	0.005	0.6743	0.6576

Framework versions

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