jaycentg/tir-xlm-focal

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

tir-xlm-focal

This model is a fine-tuned version of FacebookAI/xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 13.8577
• —F1-micro: 0.2899
• —F1-macro: 0.2682

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: 1.5e-06
• —trainbatchsize: 16
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 73
• —num_epochs: 4

Training results

Framework versions

• —Transformers 4.44.2
• —Pytorch 2.4.1+cu121
• —Datasets 3.2.0
• —Tokenizers 0.19.1