finetuned_billsum_t5 – AI Model by rahul28122002 | AlphaNeural AI

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rahul28122002/
finetuned_billsum_t5

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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finetuned_billsum_t5

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

Loss: 2.5509
Rouge1: 0.1423
Rouge2: 0.0527
Rougel: 0.1172
Rougelsum: 0.1173
Gen Len: 19.0

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: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	62	2.8488	0.1307	0.0404	0.1093	0.1094	19.0
No log	2.0	124	2.6309	0.138	0.0487	0.1138	0.114	19.0
No log	3.0	186	2.5677	0.1428	0.0524	0.1167	0.1167	19.0
No log	4.0	248	2.5509	0.1423	0.0527	0.1172	0.1173	19.0

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1