roberta-base-finetuned-on-craigslist-bargains

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roberta-base-finetuned-on-craigslist-bargains

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

• Loss: 1.4410
• Perplexity: 4.23

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: 3.0

Training results

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0