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mtl-xlmr-base-viwiki – AI Model by MiuN2k3 | AlphaNeural AI
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mtl-xlmr-base-viwiki
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transformers
safetensors
roberta
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
endpoints_compatible
us
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mtl-xlmr-base-viwiki
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: 0.6233
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: 1e-05
train_batch_size: 16
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.05
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.9031
1.0
963
0.8264
0.6923
2.0
1926
0.7016
0.644
3.0
2889
0.6884
0.5999
4.0
3852
0.6142
0.5781
5.0
4815
0.6233
Framework versions
Transformers 4.41.2
Pytorch 2.2.1
Datasets 2.20.0
Tokenizers 0.19.1
