mlm

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

• Loss: 6.2470

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: 0.0001
• train_batch_size: 64
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 200

Training results

Training Loss	Epoch	Step	Validation Loss
6.0795	10.87	500	6.3069
6.0066	21.74	1000	6.2240
5.9834	32.61	1500	6.3617
5.9497	43.48	2000	6.2711
5.9994	54.35	2500	6.2702
6.0073	65.22	3000	6.2237
5.9752	76.09	3500	6.1862
5.9932	86.96	4000	6.3695
5.9819	97.83	4500	6.3884
5.9803	108.7	5000	6.3632
5.9649	119.57	5500	6.2496
5.9697	130.43	6000	6.2470

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.0
• Tokenizers 0.15.0