token-classification-llmlingua2-xlm-roberta-bctn-1470_chunk_10epoch_best – AI Model by qminh369 | AlphaNeural AI

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qminh369/
token-classification-llmlingua2-xlm-roberta-bctn-1470_chunk_10epoch_best

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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-bctn-1470_chunk_10epoch_best

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: 0.1523

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: 32
eval_batch_size: 32
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	37	0.2328
No log	2.0	74	0.1659
No log	3.0	111	0.1562
No log	4.0	148	0.1558
No log	5.0	185	0.1537
No log	6.0	222	0.1548
No log	7.0	259	0.1523
No log	8.0	296	0.1533
No log	9.0	333	0.1529
No log	10.0	370	0.1529

Framework versions

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