test_sum_abs_t5_small_wasa_coref_stops – AI Model by InfinityC | AlphaNeural AI

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InfinityC/
test_sum_abs_t5_small_wasa_coref_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_coref_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: 0.3004
Rouge1: 0.367
Rouge2: 0.2723
Rougel: 0.3409
Rougelsum: 0.3407
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
0.3824	1.0	1632	0.3200	0.3613	0.2658	0.3354	0.3354	18.9988
0.3547	2.0	3264	0.3081	0.3665	0.2712	0.3399	0.3398	18.9991
0.3431	3.0	4896	0.3016	0.3682	0.2733	0.3418	0.3414	19.0
0.3321	4.0	6528	0.3004	0.367	0.2723	0.3409	0.3407	19.0

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2