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nostalgic_not_nostalgic_multi_language_ver – AI Model by vy-wang | AlphaNeural AI
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vy-wang
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nostalgic_not_nostalgic_multi_language_ver
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transformers
safetensors
xlm-roberta
text-classification
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
text-embeddings-inference
endpoints_compatible
us
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learn_hf_nostalgic_not_nostalgic_text_classifier-distilbert-base-uncased
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: 0.0934
Accuracy: 0.97
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: 2e-05
train_batch_size: 32
eval_batch_size: 32
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: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.6965
1.0
25
0.4732
0.88
0.3605
2.0
50
0.1999
0.94
0.1718
3.0
75
0.0934
0.97
Framework versions
Transformers 5.12.1
Pytorch 2.11.0+cpu
Datasets 4.0.0
Tokenizers 0.22.2
