metadata
license: apache-2.0
base_model: BexRedpill/distilbert-on-yelp-reviews-full
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: distilbert-on-yelp-reviews-full-epoch-2
results: []
distilbert-on-yelp-reviews-full-epoch-2
This model is a fine-tuned version of BexRedpill/distilbert-on-yelp-reviews-full on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8048
- Accuracy: 0.6508
- F1: 0.6490
- Precision: 0.6480
- Recall: 0.6508
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: 1
Training results
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2