rap_phase2_01dec – AI Model by am-infoweb | AlphaNeural AI

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rap_phase2_01dec

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rap_phase2_01dec

This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0046

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: 2
eval_batch_size: 2
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
0.1838	1.0	12474	0.1158
0.1041	2.0	24948	0.0534
0.0915	3.0	37422	0.0270
0.0293	4.0	49896	0.0213
0.0151	5.0	62370	0.0156
0.0426	6.0	74844	0.0110
0.0138	7.0	87318	0.0088
0.0	8.0	99792	0.0056
0.0075	9.0	112266	0.0053
0.0	10.0	124740	0.0046

Framework versions

Transformers 4.35.2
Pytorch 2.1.1+cu118
Datasets 2.15.0
Tokenizers 0.15.0