openbookqa_roberta_large – AI Model by gulsmyigit | AlphaNeural AI

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gulsmyigit/
openbookqa_roberta_large

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FacebookAI/roberta-large

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test-glue

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

Loss: 1.1829
Accuracy: 0.6480

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: 16
eval_batch_size: 16
seed: 77
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 8
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	155	1.2222	0.4680
No log	2.0	310	1.0994	0.5320
No log	3.0	465	1.0083	0.5960
1.0791	4.0	620	1.0442	0.6040
1.0791	5.0	775	1.0182	0.6320
1.0791	6.0	930	1.0570	0.6480
0.5044	7.0	1085	1.1399	0.6480
0.5044	8.0	1240	1.1829	0.6480

Framework versions

Transformers 4.52.0.dev0
Pytorch 2.6.0+cu124
Datasets 3.5.2.dev0
Tokenizers 0.21.1