roberta-base-downstream-ecthr-a – AI Model by MHGanainy | AlphaNeural AI

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MHGanainy/
roberta-base-downstream-ecthr-a

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text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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roberta-base-downstream-ecthr-a

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

Loss: 0.2086
Macro-f1: 0.6249
Micro-f1: 0.6923

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: 16
eval_batch_size: 16
seed: 1
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 32
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Macro-f1	Micro-f1
No log	1.0	282	0.1788	0.5361	0.6691
0.1598	2.0	564	0.1657	0.5865	0.6876
0.1598	3.0	846	0.1847	0.6197	0.6803
0.1038	4.0	1128	0.1705	0.6383	0.6992
0.1038	5.0	1410	0.1813	0.6484	0.6948
0.0835	6.0	1692	0.1946	0.6427	0.6929
0.0835	7.0	1974	0.2086	0.6249	0.6923

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1