This model is a fine-tuned version of Recognai/selectra_small on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:

Loss: 0.6279
Accuracy: 0.737
F1: 0.7438
Precision: 0.7525
Recall: 0.737

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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
No log	0.5	500	0.7041	0.7178	0.6724	0.6715	0.7178
0.7908	1.0	1000	0.6365	0.7356	0.7272	0.7211	0.7356
0.7908	1.5	1500	0.6204	0.7376	0.7380	0.7387	0.7376
0.6358	2.0	2000	0.6162	0.7386	0.7377	0.7380	0.7386
0.6358	2.5	2500	0.6228	0.7274	0.7390	0.7576	0.7274
0.5827	3.0	3000	0.6188	0.7378	0.7400	0.7425	0.7378
0.5827	3.5	3500	0.6246	0.7374	0.7416	0.7467	0.7374
0.5427	4.0	4000	0.6266	0.7446	0.7452	0.7465	0.7446
0.5427	4.5	4500	0.6331	0.7392	0.7421	0.7456	0.7392
0.5184	5.0	5000	0.6279	0.737	0.7438	0.7525	0.737

Framework versions

Transformers 4.15.0
Pytorch 1.10.0+cu111
Datasets 1.17.0
Tokenizers 0.10.3

milyiyo/selectra-small-finetuned-amazon-review

selectra-small-finetuned-amazon-review

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

milyiyo/
selectra-small-finetuned-amazon-review