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nextQuarter-status-V1.1.11
This model is a fine-tuned version of nickmuchi/finbert-tone-finetuned-finance-topic-classification on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6475
- F1: 0.7068
- Recall: 0.7333
- Precision: 0.7321
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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 | F1 | Recall | Precision |
|---|---|---|---|---|---|---|
| 0.5582 | 1.0 | 44 | 0.5751 | 0.6640 | 0.6917 | 0.6922 |
| 0.5563 | 2.0 | 88 | 0.5693 | 0.6643 | 0.7 | 0.7147 |
| 0.8712 | 3.0 | 132 | 0.5809 | 0.7309 | 0.7333 | 0.7301 |
| 0.6289 | 4.0 | 176 | 0.6168 | 0.7569 | 0.7542 | 0.7672 |
| 0.1653 | 5.0 | 220 | 0.6327 | 0.7225 | 0.725 | 0.7216 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
