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mt5_news_sum – AI Model by drive087 | AlphaNeural AI

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drive087/
mt5_news_sum

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text2text-generation

generated_from_trainer

endpoints_compatible

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new_merge_mt5

This model is a fine-tuned version of thanathorn/mt5-cpe-kmutt-thai-sentence-sum on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 2.3352
eval_rouge1: 0.0868
eval_rouge2: 0.015
eval_rougeL: 0.0873
eval_rougeLsum: 0.0866
eval_gen_len: 18.9547
eval_runtime: 160.0435
eval_samples_per_second: 6.486
eval_steps_per_second: 1.625
epoch: 5.14
step: 2000

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: 8
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5000

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2