t5-base-extraction-cnndm_fs0.2-all – AI Model by Zekunli | AlphaNeural AI

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t5-base-extraction-cnndm_fs0.2-all

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text2text-generation

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text-generation-inference

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t5-base-extraction-cnndm_fs0.2-all

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

Loss: 1.7827

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-06
train_batch_size: 32
eval_batch_size: 32
seed: 1799
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.8965	0.11	200	2.1313
2.2579	0.23	400	1.9594
2.1421	0.34	600	1.9014
2.0901	0.45	800	1.8741
2.0508	0.56	1000	1.8498
2.0269	0.68	1200	1.8394
2.0047	0.79	1400	1.8227
1.9959	0.9	1600	1.8085
1.9647	1.02	1800	1.8007
1.9629	1.13	2000	1.7903
1.9597	1.24	2200	1.7853
1.9615	1.36	2400	1.7827
1.9778	1.47	2600	1.8071
2.0581	1.58	2800	1.8804
2.1621	1.69	3000	1.9792
2.3313	1.81	3200	2.1481
2.4461	1.92	3400	2.1995

Framework versions

Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.5.1
Tokenizers 0.12.1