question-context-bm25-to10-p – AI Model by natope | AlphaNeural AI

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question-context-bm25-to10-p

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text2text-generation

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question-context-bm25-to10-p

This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 10.5504
Rouge1: 0.0502
Rouge2: 0.0175
Rougel: 0.0473
Rougelsum: 0.0468
Gen Len: 7.6

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
No log	1.0	43	15.2809	0.0052	0.0	0.0052	0.0052	4.1333
No log	2.0	86	14.3225	0.0162	0.0047	0.0158	0.0155	4.8667
No log	3.0	129	13.3174	0.0244	0.0079	0.0245	0.0241	5.9333
No log	4.0	172	11.8196	0.0328	0.0096	0.0311	0.0307	6.3333
No log	5.0	215	11.3645	0.0435	0.0176	0.0429	0.042	6.8667
No log	6.0	258	10.9238	0.0435	0.0176	0.0429	0.042	6.8667
No log	7.0	301	10.6191	0.0435	0.0176	0.0429	0.042	7.0
No log	8.0	344	10.8159	0.0476	0.0176	0.0445	0.0438	7.2667
No log	9.0	387	10.5623	0.0465	0.0175	0.0458	0.045	7.4
No log	10.0	430	10.5504	0.0502	0.0175	0.0473	0.0468	7.6

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3