---
license: apache-2.0
base_model: answerdotai/ModernBERT-base
metrics:
- accuracy
model-index:
- name: ECBERT-base
  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. -->

# ECBERT-base

This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on Gorodnichenko, Y., Pham, T., & Talavera, O. (2023). Data and Code for: The Voice of Monetary Policy (Version v1) [Dataset]. ICPSR - Interuniversity Consortium for Political and Social Research. https://doi.org/10.3886/E178302V1.
It achieves the following results on the evaluation set:
- Loss: 0.4662
- Accuracy: 84.34%

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

Gorodnichenko, Y., Pham, T., & Talavera, O. (2023). Data and Code for: The Voice of Monetary Policy (Version v1) [Dataset]. ICPSR - Interuniversity Consortium for Political and Social Research. https://doi.org/10.3886/E178302V1.

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-5
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- lr_scheduler_type: linear
- epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss   |    Epoch |   Step | Validation Loss     |
|:----------------|---------:|-------:|:--------------------|
| No log          |  1       |     63 | 0.9462559819221497  |
| 1.0232          |  1.5873  |    100 | N/A                 |
| No log          |  2       |    126 | 0.5972977876663208  |
| No log          |  3       |    189 | 0.4892125129699707  |
| 0.5002          |  3.1746  |    200 | N/A                 |
| No log          |  4       |    252 | 0.4661949574947357  |
| 0.2978          |  4.7619  |    300 | N/A                 |
| No log          |  5       |    315 | 0.4729757606983185  |
| No log          |  6       |    378 | 0.6107903718948364  |
| 0.2891          |  6.34921 |    400 | N/A                 |
| No log          |  7       |    441 | 0.49726468324661255 |
| 0.2692          |  7.93651 |    500 | N/A                 |
| No log          |  8       |    504 | 0.4903869032859802  |
| No log          |  9       |    567 | 0.568524956703186   |
| 0.1863          |  9.52381 |    600 | N/A                 |
| No log          | 10       |    630 | 0.6198205351829529  |
| No log          | 10       |    630 | 0.4661949574947357  |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0