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token-classification-llmlingua2-xlm-roberta-bctn-323_sample-5_epoch_16k_fpt_v2 – AI Model by qminh369 | AlphaNeural AI
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token-classification-llmlingua2-xlm-roberta-bctn-323_sample-5_epoch_16k_fpt_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-323_sample-5_epoch_16k_fpt_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: 0.2826
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
0.97
2
0.4856
No log
1.94
4
0.3957
No log
2.91
6
0.3313
No log
3.88
8
0.2951
No log
4.85
10
0.2826
Framework versions
Transformers 4.39.0.dev0
Pytorch 2.2.1+cu118
Datasets 2.18.0
Tokenizers 0.15.2
