This model is a fine-tuned version of google/electra-small-discriminator on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:

Loss: 1.0560
Accuracy: 0.5504
F1: 0.5458
Precision: 0.5429
Recall: 0.5504

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: 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: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
1.2172	1.0	1000	1.1014	0.5216	0.4902	0.4954	0.5216
1.0027	2.0	2000	1.0388	0.549	0.5471	0.5494	0.549
0.9035	3.0	3000	1.0560	0.5504	0.5458	0.5429	0.5504

Framework versions

Transformers 4.15.0
Pytorch 1.10.0+cu111
Datasets 1.17.0
Tokenizers 0.10.3

milyiyo/electra-small-finetuned-amazon-review

electra-small-finetuned-amazon-review

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

milyiyo/
electra-small-finetuned-amazon-review