en_bn_summarize_v4 – AI Model by mHossain | AlphaNeural AI

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mHossain/
en_bn_summarize_v4

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text2text-generation

generated_from_trainer

google/mt5-small

endpoints_compatible

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en_bn_summarize_v4

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: 2.9901
Rouge1: 0.0
Rouge2: 0.0
Rougel: 0.0
Rougelsum: 0.0
Gen Len: 18.5342

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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5000
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
26.6079	1.0	615	19.6911	0.0	0.0	0.0	0.0	5.8944
22.7508	2.0	1230	12.3575	0.0	0.0	0.0	0.0	6.8447
15.4958	3.0	1845	4.1616	0.0	0.0	0.0	0.0	16.4099
7.2592	4.0	2460	3.5828	0.0	0.0	0.0	0.0	10.7702
4.7619	5.0	3075	3.3817	0.0	0.0	0.0	0.0	16.1615
4.5058	6.0	3690	3.2461	0.0	0.0	0.0	0.0	17.2733
4.3329	7.0	4305	3.1254	0.0	0.0	0.0	0.0	18.0124
4.1691	8.0	4920	3.0500	0.0	0.0	0.0	0.0	17.9689
3.9262	9.0	5535	2.9968	0.0	0.0	0.0	0.0	18.4161
3.862	10.0	6150	2.9901	0.0	0.0	0.0	0.0	18.5342

Framework versions

Transformers 4.33.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3