qamirov1 – AI Model by hr-wesbeaver | AlphaNeural AI

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hr-wesbeaver/
qamirov1

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text2text-generation

generated_from_trainer

google-t5/t5-small

text-generation-inference

endpoints_compatible

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qamirov1

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

Loss: 0.1716
Rouge1: 0.9244
Rouge2: 0.8518
Rougel: 0.9168
Gen Len: 71.9059

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: 0.0004
train_batch_size: 12
eval_batch_size: 12
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Gen Len
No log	1.64	100	0.2216	0.8978	0.7913	0.8814	71.9059
No log	3.28	200	0.1985	0.9109	0.8189	0.8973	71.9059
No log	4.92	300	0.1805	0.9175	0.8394	0.9089	71.9059
No log	6.56	400	0.1782	0.924	0.8511	0.9155	71.9059
No log	8.2	500	0.1691	0.9257	0.855	0.9179	71.9059
No log	9.84	600	0.1716	0.9244	0.8518	0.9168	71.9059

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.16.1
Tokenizers 0.15.2