bb2bxglm_paraphrase_retrain

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

• Loss: 0.0001

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 32
• total_train_batch_size: 512
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 50
• training_steps: 200
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
8.59	0.0203	5	9.1062
8.1018	0.0406	10	8.0029
6.5083	0.0610	15	5.7627
4.3652	0.0813	20	3.0824
1.7875	0.1016	25	0.4579
0.2029	0.1219	30	0.0179
0.0116	0.1422	35	0.0019
0.0015	0.1625	40	0.0002
0.0005	0.1829	45	0.0001
0.0005	0.2032	50	0.0001
0.0003	0.2235	55	0.0001

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.2
• Tokenizers 0.19.1