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demo-oss-xlmr-e – AI Model by ania3000 | AlphaNeural AI
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ania3000
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demo-oss-xlmr-e
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transformers
safetensors
xlm-roberta
fill-mask
generated_from_trainer
ania3000/untrained-oss-xlmr-e
finetune
endpoints_compatible
us
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demo-oss-xlmr-e
This model is a fine-tuned version of
ania3000/untrained-oss-xlmr-e
on the None dataset. It achieves the following results on the evaluation set:
Loss: 6.6579
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0309
200
7.0744
No log
2.0619
400
6.8929
No log
3.0928
600
6.7532
No log
4.1237
800
6.6579
Framework versions
Transformers 4.57.1
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.1
