This model is a fine-tuned version of Pannathorn/fine-tune_eli5_mlm_model on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.4173

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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	15	2.7032
No log	2.0	30	2.3360
No log	3.0	45	2.3399
2.5406	4.0	60	2.3121
2.5406	5.0	75	2.4076
2.5406	6.0	90	2.1131
2.3199	7.0	105	2.4668
2.3199	8.0	120	2.3048
2.3199	9.0	135	2.4295
2.2345	10.0	150	2.2955

Framework versions

Transformers 4.48.3
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1

Pannathorn/my_nt_MLM2_EngV

my_nt_MLM2_EngV

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Pannathorn/
my_nt_MLM2_EngV