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token-classification-llmlingua2-xlm-roberta-bctn-2308_sample-5_epoch_best_data_v2 – AI Model by qminh369 | AlphaNeural AI
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token-classification-llmlingua2-xlm-roberta-bctn-2308_sample-5_epoch_best_data_v2
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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-2308_sample-5_epoch_best_data_v2
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: 0.1493
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
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
1.0
115
0.1666
No log
1.99
230
0.1581
No log
3.0
346
0.1514
No log
4.0
461
0.1504
0.175
4.98
575
0.1493
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
