all-roberta-large-v1-meta-8-16-5

This model is a fine-tuned version of sentence-transformers/all-roberta-large-v1 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.4797
• Accuracy: 0.28

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: 48
• eval_batch_size: 48
• 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	Accuracy
2.7721	1.0	1	2.6529	0.1889
2.2569	2.0	2	2.5866	0.2333
1.9837	3.0	3	2.5340	0.2644
1.6425	4.0	4	2.4980	0.2756
1.4612	5.0	5	2.4797	0.28

Framework versions

• Transformers 4.20.0
• Pytorch 1.11.0+cu102
• Datasets 2.3.2
• Tokenizers 0.12.1