metadata

library_name: peft
license: mit
base_model: facebook/xlm-roberta-xl
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: xlmroberta_xl_lora2
    results: []

xlmroberta_xl_lora2

This model is a fine-tuned version of facebook/xlm-roberta-xl on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3473
F1: 0.8324

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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.4403	0.9994	1193	0.3473	0.8324

Framework versions

PEFT 0.14.0
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0