results-small – AI Model by bsaurav | AlphaNeural AI

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results-small

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results-small

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

Loss: 4.1519
Rouge1: 0.2
Rouge2: 0.0
Rougel: 0.2
Rougelsum: 0.2

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: 0.0003
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: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	5	4.9256	0.0	0.0	0.0	0.0
No log	2.0	10	4.4738	0.0	0.0	0.0	0.0
No log	3.0	15	4.2600	0.0	0.0	0.0	0.0
No log	4.0	20	4.1891	0.2	0.0	0.2	0.2
No log	5.0	25	4.1602	0.2	0.0	0.2	0.2
No log	6.0	30	4.1519	0.2	0.0	0.2	0.2

Framework versions

Transformers 4.27.2
Pytorch 2.1.1
Datasets 2.11.0
Tokenizers 0.13.3