trained_json_model – AI Model by neha-m | AlphaNeural AI

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neha-m/
trained_json_model

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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trained_json_model

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: 2.9795
Rouge1: 0.176
Rouge2: 0.0818
Rougel: 0.1527
Rougelsum: 0.1538
Gen Len: 18.88

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

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	7	3.4146	0.1706	0.0746	0.1408	0.1399	18.92
No log	2.0	14	3.1585	0.1633	0.0732	0.1413	0.1411	18.8
No log	3.0	21	3.0244	0.1678	0.0785	0.1467	0.148	18.8
No log	4.0	28	2.9795	0.176	0.0818	0.1527	0.1538	18.88

Framework versions

Transformers 4.38.1
Pytorch 2.3.1
Datasets 2.20.0
Tokenizers 0.15.2