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model_name – AI Model by vjay98 | AlphaNeural AI
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model_name
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peft
safetensors
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FacebookAI/xlm-roberta-base
adapter
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model_name
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: 0.1909
F1: 0.8419
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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1
0.3571
1.0
3145
0.1910
0.8371
0.069
2.0
6290
0.2057
0.8350
0.1989
3.0
9435
0.1909
0.8419
Framework versions
PEFT 0.15.2
Transformers 4.51.3
Pytorch 2.7.0+cu126
Datasets 3.6.0
Tokenizers 0.21.1
