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deronDi/
t5-finetuned-event-extract

Name: t5-finetuned-event-extract
Availability: InStock

transformers

pytorch

text2text-generation

generated_from_trainer

google/flan-t5-small

finetune

apache-2.0

text-generation-inference

endpoints_compatible

Views

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t5-finetuned-event-extract

This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7393
Bleu: 0.0000
Precisions: [0.723404255319149, 0.5909090909090909, 0.4634146341463415, 0.3684210526315789, 0.723404255319149, 0.5909090909090909, 0.4634146341463415, 0.3684210526315789, 0.723404255319149, 0.5909090909090909, 0.4634146341463415, 0.3684210526315789, 0.723404255319149, 0.5909090909090909, 0.4634146341463415, 0.3684210526315789, 0.723404255319149, 0.5909090909090909, 0.4634146341463415, 0.3684210526315789, 0.723404255319149, 0.5909090909090909, 0.4634146341463415, 0.3684210526315789, 0.723404255319149, 0.5909090909090909, 0.4634146341463415, 0.3684210526315789, 0.723404255319149, 0.5909090909090909, 0.4634146341463415, 0.3684210526315789, 0.723404255319149, 0.5909090909090909, 0.4634146341463415, 0.3684210526315789, 0.723404255319149, 0.5909090909090909, 0.4634146341463415, 0.3684210526315789, 0.723404255319149, 0.5909090909090909, 0.4634146341463415, 0.3684210526315789, 0.723404255319149, 0.5909090909090909, 0.4634146341463415, 0.3684210526315789, 0.723404255319149, 0.5909090909090909, 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Brevity Penalty: 0.0000
Length Ratio: 1.9486
Translation Length: 4700
Reference Length: 241200
Gen Len: 5.9091

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: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Precisions	Length Ratio	Translation Length	Reference Length	Gen Len
No log	1.0	59	0.9967	[0.3364485981308411, 0.22916666666666666, 0.1744186046511628, 0.11842105263157894, 0.3364485981308411, 0.22916666666666666, 0.1744186046511628, 0.11842105263157894, 0.3364485981308411, 0.22916666666666666, 0.1744186046511628, 0.11842105263157894, 0.3364485981308411, 0.22916666666666666, 0.1744186046511628, 0.11842105263157894, 0.3364485981308411, 0.22916666666666666, 0.1744186046511628, 0.11842105263157894, 0.3364485981308411, 0.22916666666666666, 0.1744186046511628, 0.11842105263157894, 0.3364485981308411, 0.22916666666666666, 0.1744186046511628, 0.11842105263157894, 0.3364485981308411, 0.22916666666666666, 0.1744186046511628, 0.11842105263157894, 0.3364485981308411, 0.22916666666666666, 0.1744186046511628, 0.11842105263157894, 0.3364485981308411, 0.22916666666666666, 0.1744186046511628, 0.11842105263157894, 0.3364485981308411, 0.22916666666666666, 0.1744186046511628, 0.11842105263157894, 0.3364485981308411, 0.22916666666666666, 0.1744186046511628, 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Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1

deronDi/t5-finetuned-event-extract

t5-finetuned-event-extract

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

deronDi/
t5-finetuned-event-extract