roberta-base_fact_updates

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

• Loss: 0.2890

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
0.2718	1.0	734	0.2895
0.2817	2.0	1468	0.3295
0.3141	3.0	2202	0.2891
0.3464	4.0	2936	0.2919
0.2108	5.0	3670	0.2966
0.2811	6.0	4404	0.3113
0.4315	7.0	5138	0.2903
0.3629	8.0	5872	0.2890
0.2729	9.0	6606	0.2900
0.2273	10.0	7340	0.2891
0.2127	11.0	8074	0.2890
0.2929	12.0	8808	0.2895
0.3608	13.0	9542	0.2890
0.2816	14.0	10276	0.2890
0.3008	15.0	11010	0.2890

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1
• Datasets 2.18.0
• Tokenizers 0.15.2