token-classification-llmlingua2-xlm-roberta-bctn-2308_chunk_10epoch

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: 0.1480

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	58	0.1906
No log	2.0	116	0.1578
No log	3.0	174	0.1530
No log	4.0	232	0.1509
No log	5.0	290	0.1495
No log	6.0	348	0.1506
No log	7.0	406	0.1489
No log	8.0	464	0.1481
0.1719	9.0	522	0.1480
0.1719	10.0	580	0.1480

Framework versions

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