metadata
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: amazon_topical_chat_sentiment_roberta
results: []
amazon_topical_chat_sentiment_roberta
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0907
- Accuracy: 0.5746
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-06
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1524 | 1.0 | 4710 | 1.1496 | 0.5476 |
| 1.1111 | 2.0 | 9420 | 1.1173 | 0.5638 |
| 1.0934 | 3.0 | 14130 | 1.0993 | 0.5696 |
| 1.0864 | 4.0 | 18840 | 1.0927 | 0.5727 |
| 1.0727 | 5.0 | 23550 | 1.0907 | 0.5746 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1