distilroberta-base_task2-2_macrof1 – AI Model by frett | AlphaNeural AI

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frett/
distilroberta-base_task2-2_macrof1

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text-classification

generated_from_trainer

distilbert/distilroberta-base

autotrain_compatible

endpoints_compatible

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distilroberta-base_task2-2_macrof1

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

Loss: 0.6203
Macro F1: 0.3090

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: 1e-06
train_batch_size: 10
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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Macro F1
0.6541	1.0	553	0.6474	0.2768
0.7044	2.0	1106	0.6376	0.2768
0.6615	3.0	1659	0.6390	0.2768
0.6289	4.0	2212	0.6355	0.2768
0.5047	5.0	2765	0.6372	0.2841
0.5894	6.0	3318	0.6296	0.2983
0.5401	7.0	3871	0.6203	0.3090
0.7215	8.0	4424	0.6263	0.3080
0.6368	9.0	4977	0.6370	0.3033
0.4872	10.0	5530	0.6349	0.3024

Framework versions

Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1