metadata

license: mit
tags:
  - generated_from_trainer
metrics:
  - f1
base_model: xlm-roberta-base
model-index:
  - name: xlm-roberta-base-finetuned-panx-all
    results: []

xlm-roberta-base-finetuned-panx-all

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

Loss: 0.1759
F1: 0.8527

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: 5e-05
train_batch_size: 24
eval_batch_size: 24
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.3038	1.0	835	0.1922	0.8065
0.1559	2.0	1670	0.1714	0.8422
0.1002	3.0	2505	0.1759	0.8527

Framework versions

Transformers 4.15.0
Pytorch 1.10.0+cu111
Datasets 1.17.0
Tokenizers 0.10.3