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xlm-roberta-large-finetuned-wolof – AI Model by Davlan | AlphaNeural AI
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Davlan
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xlm-roberta-large-finetuned-wolof
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transformers
pytorch
xlm-roberta
fill-mask
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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wol_xlmr
This model is a fine-tuned version of
models/wol_xlmr/
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 2.4643
eval_runtime: 10.3976
eval_samples_per_second: 32.507
eval_steps_per_second: 4.136
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
