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---
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-financial-time-period
results: []
---
<!-- 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. -->
# distilbert-financial-time-period
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7377
- Accuracy: 0.8571
- F1: 0.8567
## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log | 1.0 | 318 | 0.7008 | 0.7778 | 0.7526 |
| 0.9267 | 2.0 | 636 | 0.5101 | 0.8571 | 0.8547 |
| 0.9267 | 3.0 | 954 | 0.6938 | 0.8730 | 0.8734 |
| 0.1034 | 4.0 | 1272 | 0.6638 | 0.8730 | 0.8734 |
| 0.0289 | 5.0 | 1590 | 0.7391 | 0.8571 | 0.8567 |
| 0.0289 | 6.0 | 1908 | 0.7377 | 0.8571 | 0.8567 |
### Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
|