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javilonso/
rtmex23-pol4-cardif

Name: rtmex23-pol4-cardif
Availability: InStock

generated_from_trainer

autotrain_compatible

endpoints_compatible

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rtmex23-pol4-cardif

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

Loss: 0.6787
F1: 0.8463

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: 2e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.7006	1.0	17996	0.6293	0.6758
0.5558	2.0	35992	0.5515	0.7590
0.4566	3.0	53988	0.5066	0.7939
0.3855	4.0	71984	0.4959	0.8217
0.3258	5.0	89980	0.5075	0.8200
0.2744	6.0	107976	0.5251	0.8409
0.2322	7.0	125972	0.5889	0.8461
0.2029	8.0	143968	0.6787	0.8463

Framework versions

Transformers 4.29.1
Pytorch 1.13.1
Datasets 2.12.0
Tokenizers 0.13.3

javilonso/rtmex23-pol4-cardif

rtmex23-pol4-cardif

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

javilonso/
rtmex23-pol4-cardif