Mlukebasewithpaperparameter_v2

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

• Loss: 0.1553

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: 12
• eval_batch_size: 24
• seed: 42
• gradient_accumulation_steps: 5
• total_train_batch_size: 60
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.005
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.5072	0.9928	55	0.4228
0.3222	1.9856	110	0.2984
0.286	2.9964	166	0.2462
0.2	3.9892	221	0.2388
0.1843	5.0	277	0.2082
0.1663	5.9928	332	0.1859
0.192	6.9856	387	0.1746
0.1492	7.9964	443	0.1650
0.1338	8.9892	498	0.1594
0.1237	9.9278	550	0.1553

Framework versions

• Transformers 4.40.1
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1