This model is a fine-tuned version of mrm8488/electricidad-small-discriminator on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:

Loss: 0.9506
Accuracy: 0.5832

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: 32
eval_batch_size: 32
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
1.0258	1.0	6250	1.0209	0.5502
0.9668	2.0	12500	0.9960	0.565
0.953	3.0	18750	0.9802	0.5704
0.9201	4.0	25000	0.9831	0.567
0.902	5.0	31250	0.9814	0.5672

Framework versions

Transformers 4.17.0
Pytorch 1.10.0+cu111
Datasets 1.18.4
Tokenizers 0.11.6

mrm8488/electricidad-small-finetuned-amazon-review-classification

electricidad-small-finetuned-amazon-review-classification

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mrm8488/
electricidad-small-finetuned-amazon-review-classification