EN_t5-small_10_spider – AI Model by e22vvb | AlphaNeural AI

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EN_t5-small_10_spider

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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EN_t5-small_10_spider

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

Loss: 0.5052
Rouge2 Precision: 0.4842
Rouge2 Recall: 0.3056
Rouge2 Fmeasure: 0.3504

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: 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge2 Precision	Rouge2 Recall	Rouge2 Fmeasure
No log	1.0	438	0.5472	0.3074	0.216	0.2252
1.0392	2.0	876	0.4983	0.3811	0.2468	0.2738
0.3686	3.0	1314	0.5082	0.4151	0.2587	0.2955
0.3023	4.0	1752	0.4882	0.4484	0.2716	0.3148
0.2571	5.0	2190	0.4744	0.458	0.2785	0.3233
0.2369	6.0	2628	0.4777	0.4734	0.2959	0.3402
0.2208	7.0	3066	0.5062	0.4811	0.2987	0.3445
0.2095	8.0	3504	0.4881	0.4923	0.3113	0.3572
0.2095	9.0	3942	0.5006	0.4843	0.3047	0.3498
0.2013	10.0	4380	0.5052	0.4842	0.3056	0.3504

Framework versions

Transformers 4.26.1
Pytorch 2.0.1+cu117
Datasets 2.14.7.dev0
Tokenizers 0.13.3