distilroberta-base-mrpc-glue-francisco-flores – AI Model by franciscoafy | AlphaNeural AI

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franciscoafy/
distilroberta-base-mrpc-glue-francisco-flores

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text-classification

generated_from_trainer

distilbert/distilroberta-base

autotrain_compatible

endpoints_compatible

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distilroberta-base-mrpc-glue-francisco-flores

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

Loss: 0.7184
Accuracy: 0.8456
F1: 0.8869

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.338	1.09	500	0.7782	0.8382	0.8896
0.3216	2.18	1000	0.7184	0.8456	0.8869
0.1861	3.27	1500	1.1095	0.8358	0.8874
0.1101	4.36	2000	1.3526	0.8260	0.8799
0.0572	5.45	2500	1.2464	0.8260	0.8757
0.0443	6.54	3000	1.2194	0.8407	0.8866
0.0321	7.63	3500	1.3519	0.8333	0.8803
0.0146	8.71	4000	1.4999	0.8309	0.8840
0.0082	9.8	4500	1.4908	0.8333	0.8840

Framework versions

Transformers 4.33.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3