my_awesome_bert_mlm_model

This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: nan

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.6177	1.0	2495	nan
0.4897	2.0	4990	nan
0.52	3.0	7485	nan
0.4819	4.0	9980	nan
0.4579	5.0	12475	nan
0.4826	6.0	14970	nan
0.4627	7.0	17465	nan
0.4844	8.0	19960	nan
0.372	9.0	22455	nan
0.4473	10.0	24950	nan

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Tokenizers 0.19.1