metadata

license: apache-2.0
base_model: google/electra-small-discriminator
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: electra-small-discriminator-zeroshot-v1.1-none
    results: []

electra-small-discriminator-zeroshot-v1.1-none

This model is a fine-tuned version of google/electra-small-discriminator on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3747
F1 Macro: 0.4125
F1 Micro: 0.4620
Accuracy Balanced: 0.4701
Accuracy: 0.4620
Precision Macro: 0.5162
Recall Macro: 0.4701
Precision Micro: 0.4620
Recall Micro: 0.4620

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: 64
eval_batch_size: 64
seed: 80085
optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.04
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Macro	F1 Micro	Accuracy Balanced	Accuracy	Precision Macro	Recall Macro	Precision Micro	Recall Micro
0.4765	0.32	5000	0.5300	0.7326	0.7528	0.7329	0.7528	0.7322	0.7329	0.7528	0.7528
0.4408	0.65	10000	0.5099	0.7402	0.765	0.7359	0.765	0.7463	0.7359	0.765	0.765
0.4169	0.97	15000	0.4976	0.7473	0.7702	0.7439	0.7702	0.7517	0.7439	0.7702	0.7702
0.387	1.3	20000	0.4943	0.7525	0.7742	0.7498	0.7742	0.7559	0.7498	0.7742	0.7742
0.3905	1.62	25000	0.4931	0.7522	0.775	0.7484	0.775	0.7572	0.7484	0.775	0.775
0.4001	1.95	30000	0.4924	0.7544	0.7752	0.7524	0.7752	0.7568	0.7524	0.7752	0.7752
0.3995	2.27	35000	0.4900	0.7543	0.7758	0.7517	0.7758	0.7576	0.7517	0.7758	0.7758
0.3981	2.6	40000	0.4906	0.7529	0.7742	0.7504	0.7742	0.7558	0.7504	0.7742	0.7742
0.4232	2.92	45000	0.4904	0.7544	0.776	0.7516	0.776	0.7579	0.7516	0.776	0.776

Framework versions

Transformers 4.33.3
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.13.3