test_sum_abs_t5_small_wasa_stops – AI Model by InfinityC | AlphaNeural AI

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InfinityC/
test_sum_abs_t5_small_wasa_stops

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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test_sum_abs_t5_small_wasa_stops

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

Loss: 0.8601
Rouge1: 0.3823
Rouge2: 0.2702
Rougel: 0.3451
Rougelsum: 0.3454
Gen Len: 18.9864

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
1.0591	1.0	1764	0.9275	0.3767	0.2652	0.3403	0.3404	18.9787
0.9758	2.0	3528	0.8813	0.3817	0.2702	0.3448	0.345	18.9819
0.9575	3.0	5292	0.8648	0.3818	0.2692	0.3445	0.3446	18.987
0.9435	4.0	7056	0.8601	0.3823	0.2702	0.3451	0.3454	18.9864

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2