metadata

license: apache-2.0
base_model: distilroberta-base
tags:
  - generated_from_trainer
model-index:
  - name: ft-distilroberta-base-with-askscience
    results: []

ft-distilroberta-base-with-askscience

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

Loss: 2.0739

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: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	336	2.0490
2.2504	2.0	672	2.0507

Framework versions

Transformers 4.35.2
Pytorch 2.0.0
Datasets 2.15.0
Tokenizers 0.15.0