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token-classification-llmlingua2-xlm-roberta-bctn-218_sample-5_epoch_best_data – AI Model by qminh369 | AlphaNeural AI
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token-classification-llmlingua2-xlm-roberta-bctn-218_sample-5_epoch_best_data
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transformers
tensorboard
safetensors
xlm-roberta
token-classification
generated_from_trainer
FacebookAI/xlm-roberta-large
finetune
mit
autotrain_compatible
endpoints_compatible
us
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token-classification-llmlingua2-xlm-roberta-bctn-218_sample-5_epoch_best_data
This model is a fine-tuned version of
FacebookAI/xlm-roberta-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4356
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
No log
0.57
1
0.5044
No log
1.71
3
0.4569
No log
2.86
5
0.4356
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
