Tibi29
/

t5-small-fine-tune-yahoo-qa

Text2Text Generation

generated_from_trainer

Inference Endpoints

text-generation-inference

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t5-small-fine-tune-yahoo-qa

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.8186
Rouge1: 14.8682
Rouge2: 2.516
Rougel: 12.3794
Rougelsum: 13.2314
Gen Len: 18.7565

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
4.051	1.0	3823	3.8186	14.8682	2.516	12.3794	13.2314	18.7565

Framework versions

Transformers 4.36.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0

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Safetensors

Model size

60.5M params

Tensor type

F32

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Finetuned from

Evaluation results

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