roberta-base-coffee20230108

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 4.4032

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
No log	1.0	89	4.5615
5.5192	2.0	178	2.8434
3.2266	3.0	267	2.2547
2.1833	4.0	356	2.3272
1.5483	5.0	445	2.3703
1.148	6.0	534	2.4088
1.0413	7.0	623	2.6734
0.6844	8.0	712	2.7058
0.5396	9.0	801	2.9746
0.5396	10.0	890	3.6085
0.3883	11.0	979	3.4980
0.2854	12.0	1068	4.0556
0.2021	13.0	1157	4.1024
0.1797	14.0	1246	4.2926
0.1425	15.0	1335	4.4032

Framework versions

• Transformers 4.25.1
• Pytorch 1.11.0+cu113
• Datasets 2.8.0
• Tokenizers 0.13.2