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
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7187 | 1.0 | 179 | 1.4963 |
| 1.5401 | 2.0 | 358 | 1.4530 |
| 1.5106 | 3.0 | 537 | 1.3912 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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