metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: tapt_seq_bn_amazon_helpfulness_classification_model
results: []
tapt_seq_bn_amazon_helpfulness_classification_model
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3322
- Accuracy: 0.866
- F1 Macro: 0.5934
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
|---|---|---|---|---|---|
| 0.3392 | 1.0 | 1563 | 0.3329 | 0.859 | 0.5394 |
| 0.3347 | 2.0 | 3126 | 0.3382 | 0.863 | 0.5814 |
| 0.3305 | 3.0 | 4689 | 0.3322 | 0.866 | 0.5934 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2