electra-base-gen-finetuned-amazon-review

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

• Loss: 1.8030
• Accuracy: 0.5024
• F1: 0.5063
• Precision: 0.5121
• Recall: 0.5024

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: 7

Training results

Training Loss	Epoch	Step	Accuracy	F1	Validation Loss	Precision	Recall
0.5135	1.0	1000	0.4886	0.4929	1.6580	0.5077	0.4886
0.4138	2.0	2000	0.5044	0.5093	1.7951	0.5183	0.5044
0.4244	3.0	3000	0.5022	0.5068	1.8108	0.5141	0.5022
0.4231	6.0	6000	1.7636	0.4972	0.5018	0.5092	0.4972
0.3574	7.0	7000	1.8030	0.5024	0.5063	0.5121	0.5024

Framework versions

• Transformers 4.15.0
• Pytorch 1.10.0+cu111
• Datasets 1.17.0
• Tokenizers 0.10.3