question-context-random-to10-p-v2 – AI Model by natope | AlphaNeural AI

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question-context-random-to10-p-v2

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question-context-random-to10-p-v2

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: 9.1962
Rouge1: 0.0086
Rouge2: 0.0
Rougel: 0.0069
Rougelsum: 0.007
Gen Len: 7.9333

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	15.6149	0.0054	0.0	0.0051	0.0054	4.2667
No log	2.0	86	11.6382	0.0054	0.0	0.0051	0.0054	4.2667
No log	3.0	129	11.6215	0.0086	0.0	0.0069	0.0071	4.6667
No log	4.0	172	11.8024	0.0086	0.0	0.0069	0.0071	4.6667
No log	5.0	215	10.6855	0.0086	0.0	0.0069	0.0071	5.0667
No log	6.0	258	9.3720	0.0086	0.0	0.0069	0.0071	5.2
No log	7.0	301	9.2437	0.0086	0.0	0.0069	0.007	6.8
No log	8.0	344	9.3835	0.0086	0.0	0.0069	0.007	6.8
No log	9.0	387	9.2842	0.0086	0.0	0.0069	0.007	7.9333
No log	10.0	430	9.1962	0.0086	0.0	0.0069	0.007	7.9333

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3