Copilot_for_poors

This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.8084

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: 12
• eval_batch_size: 12
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	65	2.9425
No log	2.0	130	2.5889
No log	3.0	195	2.3886
No log	4.0	260	2.2679
No log	5.0	325	2.1732
No log	6.0	390	2.0942
No log	7.0	455	2.0343
2.7389	8.0	520	1.9956
2.7389	9.0	585	1.9557
2.7389	10.0	650	1.9284
2.7389	11.0	715	1.9024
2.7389	12.0	780	1.8811
2.7389	13.0	845	1.8612
2.7389	14.0	910	1.8443
2.7389	15.0	975	1.8331
2.1064	16.0	1040	1.8228
2.1064	17.0	1105	1.8178
2.1064	18.0	1170	1.8130
2.1064	19.0	1235	1.8093
2.1064	20.0	1300	1.8084

Framework versions

• Transformers 4.20.1
• Pytorch 1.11.0
• Datasets 2.1.0
• Tokenizers 0.12.1