metadata
base_model: ProsusAI/finbert
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: finetunedfinbert-model
results: []
finetunedfinbert-model
This model is a fine-tuned version of ProsusAI/finbert on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4665
- Accuracy: 0.7928
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 148 | 0.3807 | 0.8061 |
| No log | 2.0 | 296 | 0.3923 | 0.8156 |
| No log | 3.0 | 444 | 0.4118 | 0.8080 |
| 0.3007 | 4.0 | 592 | 0.4626 | 0.8099 |
| 0.3007 | 5.0 | 740 | 0.4665 | 0.7928 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.3
- Tokenizers 0.13.3