mt5-base-wikinewssum-english-100 – AI Model by airKlizz | AlphaNeural AI

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airKlizz/
mt5-base-wikinewssum-english-100

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text2text-generation

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mt5-base-wikinewssum-english-100

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

Loss: 6.6225
Rouge1: 3.909
Rouge2: 0.9312
Rougel: 3.3835
Rougelsum: 3.7786

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: 5.6e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	0.96	12	14.4949	2.7398	0.7181	2.491	2.6561
No log	1.96	24	10.5056	4.4428	1.4293	3.8469	4.2869
No log	2.96	36	8.9856	4.1179	1.229	3.5726	3.9693
No log	3.96	48	7.7950	3.9217	1.1339	3.4256	3.7905
No log	4.96	60	7.0734	3.8004	1.0326	3.3246	3.6766
No log	5.96	72	6.7897	3.6351	0.9162	3.1839	3.5149
No log	6.96	84	6.6610	3.7486	0.8829	3.2583	3.6193
No log	7.96	96	6.6225	3.909	0.9312	3.3835	3.7786

Framework versions

Transformers 4.13.0
Pytorch 1.10.1
Datasets 1.16.1
Tokenizers 0.10.3