t5-base-finetuned-p7-3epochs – AI Model by laurenmit | AlphaNeural AI

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t5-base-finetuned-p7-3epochs

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t5-base-finetuned-p7-3epochs

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

Loss: 0.6636
Rouge1: 59.5686
Rouge2: 50.9766
Rougel: 58.2321
Rougelsum: 58.6381
Gen Len: 17.5426

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: 1
eval_batch_size: 1
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
0.2896	1.0	1131	0.6461	58.2714	49.703	56.8138	57.2542	17.7819
0.2325	2.0	2262	0.6584	60.2913	51.6179	59.04	59.499	17.6383
0.2526	3.0	3393	0.6636	59.5686	50.9766	58.2321	58.6381	17.5426

Framework versions

Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3