volk_assistant – AI Model by opelumen | AlphaNeural AI

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opelumen/
volk_assistant

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text2text-generation

generated_from_trainer

google/flan-t5-base

text-generation-inference

endpoints_compatible

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volk_assistant

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

Loss: 0.0610
Rouge1: 0.0
Rouge2: 0.0
Rougel: 0.0
Rougelsum: 0.0

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
No log	1.0	4	0.2216	0.0	0.0	0.0	0.0
No log	2.0	8	0.1434	0.0	0.0	0.0	0.0
No log	3.0	12	0.1166	0.0	0.0	0.0	0.0
No log	4.0	16	0.0772	0.0	0.0	0.0	0.0
No log	5.0	20	0.0732	0.0	0.0	0.0	0.0
No log	6.0	24	0.0673	0.0	0.0	0.0	0.0
No log	7.0	28	0.0663	0.0	0.0	0.0	0.0
No log	8.0	32	0.0621	0.0	0.0	0.0	0.0
No log	9.0	36	0.0610	0.0	0.0	0.0	0.0
No log	10.0	40	0.0651	0.0	0.0	0.0	0.0
No log	11.0	44	0.0696	0.0	0.0	0.0	0.0
No log	12.0	48	0.0708	0.0	0.0	0.0	0.0
No log	13.0	52	0.0762	0.0	0.0	0.0	0.0
No log	14.0	56	0.0817	0.0	0.0	0.0	0.0
No log	15.0	60	0.0828	0.0	0.0	0.0	0.0
No log	16.0	64	0.0812	0.0	0.0	0.0	0.0
No log	17.0	68	0.0794	0.0	0.0	0.0	0.0
No log	18.0	72	0.0781	0.0	0.0	0.0	0.0
No log	19.0	76	0.0770	0.0	0.0	0.0	0.0
No log	20.0	80	0.0763	0.0	0.0	0.0	0.0

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2