mymodel_base_10k_sample_2e4_5epoch_batchsize4 – AI Model by nhantruongcse | AlphaNeural AI

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nhantruongcse/
mymodel_base_10k_sample_2e4_5epoch_batchsize4

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text2text-generation

generated_from_trainer

VietAI/vit5-base

text-generation-inference

endpoints_compatible

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mymodel_base_10k_sample

This model is a fine-tuned version of VietAI/vit5-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.9184
Rouge1: 0.5671
Rouge2: 0.2484
Rougel: 0.3595
Rougelsum: 0.3595
Gen Len: 41.236

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: 0.0002
train_batch_size: 4
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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
2.5062	1.0	2000	2.3325	0.5017	0.2092	0.3239	0.3239	54.9825
1.9813	2.0	4000	2.2335	0.5247	0.225	0.3379	0.3379	48.8705
1.4287	3.0	6000	2.2989	0.5466	0.2348	0.3492	0.3491	42.505
0.9458	4.0	8000	2.5270	0.5582	0.2476	0.3568	0.357	39.268
0.5884	5.0	10000	2.9184	0.5671	0.2484	0.3595	0.3595	41.236

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0