metadata

license: apache-2.0
base_model: distilbert/distilroberta-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: distilroberta-base-fb-housing-posts
    results: []

distilroberta-base-fb-housing-posts

This model is a fine-tuned version of distilbert/distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2444
Accuracy: 0.9358

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: 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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	55	0.4163	0.8342
No log	2.0	110	0.2641	0.9037
No log	3.0	165	0.2730	0.9198
No log	4.0	220	0.2435	0.9305
No log	5.0	275	0.2444	0.9358

Framework versions

Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1