TestHelsinkimulEnJpTh02

This model is a fine-tuned version of Shularp/TestHelsinkimulEnJpTh02 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1630

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: 2e-05
• train_batch_size: 1
• eval_batch_size: 1
• 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
0.4364	1.0	4846	0.2666
0.1094	2.0	9692	0.2277
0.0484	3.0	14538	0.1940
0.0111	4.0	19384	0.1749
0.0105	5.0	24230	0.1630

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3