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xlm-roberta-base-finetuned-malagasy – AI Model by Davlan | AlphaNeural AI

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Davlan/
xlm-roberta-base-finetuned-malagasy

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mlg_xlmr

This model is a fine-tuned version of models/mlg_xlmr on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 1.2039
eval_runtime: 21.8916
eval_samples_per_second: 51.481
eval_steps_per_second: 6.441
step: 0

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: 5e-05
train_batch_size: 5
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 2
total_train_batch_size: 10
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Framework versions

Transformers 4.21.1
Pytorch 1.7.1+cu110
Datasets 1.16.1
Tokenizers 0.12.1