t5-small_finetuned_billsum_model_bs8_lr5e-05 – AI Model by alaahussein | AlphaNeural AI

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t5-small_finetuned_billsum_model_bs8_lr5e-05

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t5-small_finetuned_billsum_model_bs8_lr5e-05

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

Loss: 2.1736
Rouge1: 0.1967
Rouge2: 0.0984
Rougel: 0.1675
Rougelsum: 0.1677
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: 5e-05
train_batch_size: 8
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
No log	1.0	124	2.2775	0.1968	0.0943	0.1674	0.1674	19.0
No log	2.0	248	2.2187	0.2001	0.0981	0.1705	0.1707	19.0
No log	3.0	372	2.1969	0.1965	0.0987	0.1686	0.1687	19.0
No log	4.0	496	2.1736	0.1967	0.0984	0.1675	0.1677	19.0

Framework versions

Transformers 4.27.4
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3