metadata
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: finetuned_sentence_itr0_2e-05_all_01_03_2022-02_53_51
results: []
finetuned_sentence_itr0_2e-05_all_01_03_2022-02_53_51
This model is a fine-tuned version of siebert/sentiment-roberta-large-english on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4563
- Accuracy: 0.8440
- F1: 0.8954
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: 64
- eval_batch_size: 64
- 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 | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 195 | 0.4302 | 0.8073 | 0.8754 |
| No log | 2.0 | 390 | 0.3970 | 0.8220 | 0.8875 |
| 0.3703 | 3.0 | 585 | 0.3972 | 0.8402 | 0.8934 |
| 0.3703 | 4.0 | 780 | 0.4945 | 0.8390 | 0.8935 |
| 0.3703 | 5.0 | 975 | 0.5354 | 0.8305 | 0.8898 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.1+cu113
- Datasets 1.18.0
- Tokenizers 0.10.3