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distilroberta-base-finetuned-wikitext2

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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: 1.8610

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
2.0817	1.0	2406	1.9344
1.9856	2.0	4812	1.8837
1.9434	3.0	7218	1.8354

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1

Downloads last month: 3

Safetensors

Model size

82.2M params

Tensor type

F32

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This model is not currently available via any of the supported third-party Inference Providers, and the model is not deployed on the HF Inference API.

Model tree for 0208suin/distilroberta-base-finetuned-wikitext2

Base model

distilbert/distilroberta-base

Finetuned

(581)

this model

Evaluation results

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