RobertaTokens_MAL-10epoch-RobertaMul – AI Model by Rahul-G | AlphaNeural AI

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Rahul-G/
RobertaTokens_MAL-10epoch-RobertaMul

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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RobertaTokens_MAL-10epoch-RobertaMul

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: 1.1039
Accuracy: 0.0938

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: 10
eval_batch_size: 10
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	Accuracy
No log	1.0	5	1.1179	0.0938
No log	2.0	10	1.1147	0.0938
No log	3.0	15	1.1141	0.0938
No log	4.0	20	1.1118	0.0938
No log	5.0	25	1.1090	0.0938
No log	6.0	30	1.1052	0.0938
No log	7.0	35	1.1061	0.0938
No log	8.0	40	1.1055	0.0938
No log	9.0	45	1.1047	0.0938
No log	10.0	50	1.1039	0.0938

Framework versions

Transformers 4.35.0.dev0
Pytorch 1.13.1
Datasets 2.14.5
Tokenizers 0.14.1