mT5-TextSimp-LT-BatchSize8 – AI Model by eglkan1 | AlphaNeural AI

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eglkan1/
mT5-TextSimp-LT-BatchSize8

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text2text-generation

generated_from_trainer

google/mt5-base

text-generation-inference

endpoints_compatible

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mT5-TextSimp-LT-BatchSize8

This model is a fine-tuned version of google/mt5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5250
Rouge1: 0.0062
Rouge2: 0.0
Rougel: 0.0062
Gen Len: 39.0501

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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Gen Len
16.3791	0.96	200	11.2580	0.0041	0.0001	0.0041	512.0
1.4082	1.91	400	0.9502	0.0237	0.0002	0.0234	39.0501
0.7272	2.87	600	0.6131	0.0033	0.0	0.0032	39.0501
0.6517	3.83	800	0.5775	0.0019	0.0	0.0018	39.0501
0.6625	4.78	1000	0.5559	0.0014	0.0	0.0014	39.0501
0.5423	5.74	1200	0.5359	0.0016	0.0	0.0016	39.0501
0.7486	6.7	1400	0.5289	0.007	0.0	0.0069	39.0501
0.6712	7.66	1600	0.5250	0.0062	0.0	0.0062	39.0501

Framework versions

Transformers 4.36.2
Pytorch 2.1.1
Datasets 2.16.1
Tokenizers 0.15.0