LLM_Teached_Bart_FromScratch

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.7504
• Rouge1: 0.3746
• Rouge2: 0.1776
• Rougel: 0.3165
• Rougelsum: 0.3164
• Gen Len: 19.9727

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: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
1.0692	1.0	625	1.7369	0.3826	0.1796	0.3166	0.3164	19.9691
0.9466	2.0	1250	1.7602	0.3738	0.1772	0.3142	0.3143	20.0
0.8898	3.0	1875	1.7657	0.3778	0.1751	0.3156	0.3157	19.9727
0.8871	4.0	2500	1.7504	0.3746	0.1776	0.3165	0.3164	19.9727

Framework versions

• Transformers 4.36.0
• Pytorch 2.0.1+cu117
• Datasets 2.14.5
• Tokenizers 0.15.0