metadata

library_name: transformers
license: apache-2.0
base_model: distilroberta-base
tags:
  - generated_from_trainer
model-index:
  - name: distilroberta-base-finetuned-wikitext2
    results: []

distilroberta-base-finetuned-wikitext2

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

Loss: 1.8595

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
2.082	1.0	2406	1.9342
1.9837	2.0	4812	1.8848
1.9425	3.0	7218	1.8351

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1