my_finetuned_t5_cnn_model – AI Model by DevanshPalliyathHF2 | AlphaNeural AI

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my_finetuned_t5_cnn_model

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my_finetuned_t5_cnn_model

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

Loss: 1.9870
Rouge1: 0.2484
Rouge2: 0.1
Rougel: 0.2024
Rougelsum: 0.2025
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
2.0391	1.0	657	1.9948	0.2479	0.0986	0.2013	0.2012	19.0
1.9686	2.0	1314	1.9895	0.2476	0.0985	0.2016	0.2013	19.0
1.9495	3.0	1971	1.9883	0.2482	0.1001	0.202	0.202	19.0
1.9394	4.0	2628	1.9870	0.2484	0.1	0.2024	0.2025	19.0

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.12.0
Tokenizers 0.13.3