metadata
base_model: cardiffnlp/twitter-roberta-base-emotion
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: nosql-identifier-roberta-base
results: []
nosql-identifier-roberta-base
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-emotion on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8502
- Accuracy: 0.775
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 40 | 0.5647 | 0.825 |
| No log | 2.0 | 80 | 0.4160 | 0.75 |
| No log | 3.0 | 120 | 0.8697 | 0.75 |
| No log | 4.0 | 160 | 0.7257 | 0.775 |
| No log | 5.0 | 200 | 0.4974 | 0.875 |
| No log | 6.0 | 240 | 0.6685 | 0.85 |
| No log | 7.0 | 280 | 0.7686 | 0.85 |
| No log | 8.0 | 320 | 0.7531 | 0.875 |
| No log | 9.0 | 360 | 0.9639 | 0.8 |
| No log | 10.0 | 400 | 0.6153 | 0.9 |
| No log | 11.0 | 440 | 0.6570 | 0.875 |
| No log | 12.0 | 480 | 0.7417 | 0.825 |
| 0.2644 | 13.0 | 520 | 0.8697 | 0.825 |
| 0.2644 | 14.0 | 560 | 0.8611 | 0.8 |
| 0.2644 | 15.0 | 600 | 0.8502 | 0.775 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.11.0