t5-base-p-l-akk-en-20241108-111409

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.6284

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: 200
• eval_batch_size: 200
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2000
• num_epochs: 25

Training results

Training Loss	Epoch	Step	Validation Loss
1.0934	1.0	10362	1.0823
0.994	2.0	20724	0.9775
0.9285	3.0	31086	0.9139
0.8822	4.0	41448	0.8726
0.8421	5.0	51810	0.8348
0.8265	6.0	62172	0.8049
0.8011	7.0	72534	0.7857
0.7805	8.0	82896	0.7648
0.7617	9.0	93258	0.7466
0.7468	10.0	103620	0.7355
0.7297	11.0	113982	0.7178
0.7293	12.0	124344	0.7078
0.7112	13.0	134706	0.6956
0.7026	14.0	145068	0.6847
0.6923	15.0	155430	0.6775
0.6855	16.0	165792	0.6726
0.6816	17.0	176154	0.6639
0.6704	18.0	186516	0.6590
0.6652	19.0	196878	0.6481
0.6614	20.0	207240	0.6452
0.6527	21.0	217602	0.6408
0.6489	22.0	227964	0.6354
0.6476	23.0	238326	0.6325
0.6388	24.0	248688	0.6295
0.6384	25.0	259050	0.6284

Framework versions

• Transformers 4.45.2
• Pytorch 2.6.0.dev20241022+cu124
• Datasets 3.0.1
• Tokenizers 0.20.1