godel_restaurants – AI Model by vidhikatkoria | AlphaNeural AI

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vidhikatkoria/
godel_restaurants

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text2text-generation

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text-generation-inference

endpoints_compatible

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godel_restaurants

This model is a fine-tuned version of microsoft/GODEL-v1_1-base-seq2seq on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2869
Bleu: 0.0565
Rouge2: 0.0546
Rougel: 0.2087

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: 1e-05
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: constant
lr_scheduler_warmup_steps: 100
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Rouge2	Rougel
6.0069	1.0	14	5.6691	0.0	0.0073	0.0748
3.4734	2.0	28	3.0378	0.0	0.0073	0.0637
1.1689	3.0	42	0.6709	0.0	0.0065	0.0626
0.523	4.0	56	0.4075	0.0	0.0065	0.0637
0.4393	5.0	70	0.3495	0.0	0.0108	0.1135
0.1731	6.0	84	0.3100	0.0	0.0248	0.1499
0.1428	7.0	98	0.2962	0.0	0.0582	0.1752
0.1594	8.0	112	0.2931	0.0	0.0407	0.2034
0.2354	9.0	126	0.2896	0.0562	0.0546	0.21
0.2704	10.0	140	0.2869	0.0565	0.0546	0.2087

Framework versions

Transformers 4.27.4
Pytorch 1.13.1+cu116
Datasets 2.11.0
Tokenizers 0.13.2