mt5-base-qa_v2 – AI Model by hawalurahman | AlphaNeural AI

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hawalurahman/
mt5-base-qa_v2

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text2text-generation

generated_from_trainer

google/mt5-base

endpoints_compatible

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mt5-base-qa_v2

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: 1.5989
Rouge1: 0.6780
Rouge2: 0.3874
Rougel: 0.6773
Rougelsum: 0.6775
Bleu: 0.4518
Exact Match: 0.4502

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
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Bleu	Exact Match
0.5705	1.0	2100	0.8504	0.6538	0.3810	0.6534	0.6539	0.4289	0.4369
0.2728	2.0	4200	1.0248	0.6644	0.3734	0.6637	0.6646	0.4145	0.4360
0.1418	3.0	6300	1.3020	0.6664	0.3812	0.6657	0.6661	0.4362	0.4269
0.0834	4.0	8400	1.4760	0.6739	0.3790	0.6731	0.6737	0.4233	0.4431
0.0568	5.0	10500	1.5989	0.6780	0.3874	0.6773	0.6775	0.4518	0.4502

Framework versions

Transformers 4.45.2
Pytorch 2.4.0a0+f70bd71a48.nv24.06
Datasets 3.0.1
Tokenizers 0.20.1