rap_phase2_19jan_5i_v1 – AI Model by am-infoweb | AlphaNeural AI

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rap_phase2_19jan_5i_v1

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rap_phase2_19jan_5i_v1

This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0040

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: 3
eval_batch_size: 3
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
0.1738	1.0	8180	0.1150
0.0927	2.0	16360	0.0812
0.054	3.0	24540	0.0870
0.0613	4.0	32720	0.0470
0.0784	5.0	40900	0.0395
0.0086	6.0	49080	0.0117
0.0154	7.0	57260	0.0096
0.0014	8.0	65440	0.0081
0.0003	9.0	73620	0.0039
0.0048	10.0	81800	0.0040

Framework versions

Transformers 4.32.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.13.3