metadata

license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
  - generated_from_trainer
model-index:
  - name: token-classification-llmlingua2-xlm-roberta-1k7_yte_10_epoch_paper_v2
    results: []

token-classification-llmlingua2-xlm-roberta-1k7_yte_10_epoch_paper_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: 0.4392

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	15	0.4705
No log	2.0	30	0.4659
No log	3.0	45	0.4596
No log	4.0	60	0.4559
No log	5.0	75	0.4532
No log	6.0	90	0.4494
No log	7.0	105	0.4456
No log	8.0	120	0.4422
No log	9.0	135	0.4400
No log	10.0	150	0.4392

Framework versions

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