roberta_large-chunking_0715_v0

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

• Loss: 0.3602
• Precision: 0.3182
• Recall: 0.2213
• F1: 0.2610
• Accuracy: 0.8681

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: 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	63	0.4019	0.5525	0.0824	0.1434	0.8748
No log	2.0	126	0.3614	0.4887	0.1517	0.2315	0.8747
No log	3.0	189	0.3569	0.4484	0.1638	0.2399	0.8744
No log	4.0	252	0.3581	0.3685	0.1909	0.2515	0.8719
No log	5.0	315	0.3602	0.3182	0.2213	0.2610	0.8681

Framework versions

• Transformers 4.20.1
• Pytorch 1.12.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1