mrc-vit5-base-dsc – AI Model by MiuN2k3 | AlphaNeural AI

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MiuN2k3/
mrc-vit5-base-dsc

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VietAI/vit5-base

text-generation-inference

endpoints_compatible

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mrc-vit5-dsc

This model is a fine-tuned version of VietAI/vit5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.6093
Exact Match: 0.7382
F1: 0.8663

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: 6
eval_batch_size: 4
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	Exact Match	F1
0.7044	1.0	4240	0.6239	0.6669	0.8277
0.5249	2.0	8480	0.5740	0.7000	0.8584
0.3262	3.0	12720	0.7052	0.7215	0.8609
0.2361	4.0	16960	1.1596	0.7305	0.8601
0.1454	5.0	21200	1.6093	0.7382	0.8663

Framework versions

Transformers 4.41.1
Pytorch 2.2.1
Datasets 2.19.1
Tokenizers 0.19.1