rap_phase2_20dec_200i_v2 – AI Model by am-infoweb | AlphaNeural AI

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rap_phase2_20dec_200i_v2

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rap_phase2_20dec_200i_v2

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: 0.0000

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: 4
eval_batch_size: 4
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
0.0417	1.0	2250	0.0183
0.0262	2.0	4500	0.0000
0.052	3.0	6750	0.0000
0.0146	4.0	9000	0.0000
0.015	5.0	11250	0.0002
0.003	6.0	13500	0.0000
0.0099	7.0	15750	0.0000
0.0158	8.0	18000	0.0000
0.0	9.0	20250	0.0000
0.0048	10.0	22500	0.0000

Framework versions

Transformers 4.35.2
Pytorch 2.1.1+cu118
Datasets 2.15.0
Tokenizers 0.15.0