mt5-small-finetuned-b8-10 – AI Model by sharkMeow | AlphaNeural AI

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sharkMeow/
mt5-small-finetuned-b8-10

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text2text-generation

generated_from_trainer

google/mt5-small

endpoints_compatible

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mt5-small-finetuned-b8-10

This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.6458
Rouge1: 0.1334
Rouge2: 0.1033
Rougel: 0.1296
Rougelsum: 0.1296
Gen Len: 15.4277

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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
5.1916	1.0	1357	3.8497	0.1095	0.086	0.1067	0.1064	12.6442
4.5138	2.0	2714	3.7329	0.1228	0.0959	0.1198	0.1195	14.4008
4.3429	3.0	4071	3.6736	0.1291	0.1	0.1255	0.1255	15.0502
4.3195	4.0	5428	3.6458	0.1334	0.1033	0.1296	0.1296	15.4277

Framework versions

Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3