<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
nextQuarter-status-V1.1.12
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: 0.6715
- F1: 0.7110
- Recall: 0.7167
- Precision: 0.7091
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: 4
Training results
Training Loss | Epoch | Step | Validation Loss | F1 | Recall | Precision |
---|---|---|---|---|---|---|
0.3577 | 1.0 | 44 | 0.5706 | 0.7301 | 0.7333 | 0.7296 |
0.5296 | 2.0 | 88 | 0.8278 | 0.7002 | 0.7042 | 0.6993 |
0.757 | 3.0 | 132 | 0.9533 | 0.7026 | 0.7125 | 0.7069 |
0.7076 | 4.0 | 176 | 0.9900 | 0.7018 | 0.7042 | 0.7007 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3