metadata

license: apache-2.0
base_model: pallie/mcQA_model_bert
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: mcQA_model_bert-finetuned-enem
    results: []

mcQA_model_bert-finetuned-enem

This model is a fine-tuned version of pallie/mcQA_model_bert on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.6094
Accuracy: 0.2889

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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	467	1.6094	0.2192
1.617	2.0	934	1.6094	0.2481
1.6159	3.0	1401	1.6094	0.2889

Framework versions

Transformers 4.35.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.14.1