t5-base-finetuned-emo20q-classification

This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3759
• Rouge1: 70.3125
• Rouge2: 0.0
• Rougel: 70.2083
• Rougelsum: 70.2083
• Gen Len: 2.0

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: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	280	0.3952	68.3333	0.0	68.2292	68.2812	2.0
0.7404	2.0	560	0.3774	70.1042	0.0	70.1042	70.1042	2.0
0.7404	3.0	840	0.3759	70.3125	0.0	70.2083	70.2083	2.0

Framework versions

• Transformers 4.20.1
• Pytorch 1.12.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1