token-classification-llmlingua2-xlm-roberta-10k_merge_10_epoch_paper – AI Model by qminh369 | AlphaNeural AI

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token-classification-llmlingua2-xlm-roberta-10k_merge_10_epoch_paper

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token-classification

generated_from_trainer

FacebookAI/xlm-roberta-large

autotrain_compatible

endpoints_compatible

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token-classification-llmlingua2-xlm-roberta-10k_merge_10_epoch_paper

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: 0.4556

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: 96
eval_batch_size: 96
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	85	0.5432
No log	2.0	170	0.5281
No log	3.0	255	0.5116
No log	4.0	340	0.4937
No log	5.0	425	0.4692
0.5227	6.0	510	0.4757
0.5227	7.0	595	0.4698
0.5227	8.0	680	0.4603
0.5227	9.0	765	0.4556
0.5227	10.0	850	0.4579

Framework versions

Transformers 4.39.0.dev0
Pytorch 2.2.1+cu118
Datasets 2.18.0
Tokenizers 0.15.2