---
library_name: transformers
language:
- en
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
model-index:
- name: DisamBertCrossEncoder-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. -->

# DisamBertCrossEncoder-base

This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the semcor dataset.
It achieves the following results on the evaluation set:
- Loss: 13.9274
- Precision: 0.6274
- Recall: 0.6398
- F1: 0.6335
- Matthews: 0.6392

## 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: 0.0001
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: inverse_sqrt
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Matthews |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 0     | 0     | 427.8458        | 0.5014    | 0.4790 | 0.4899 | 0.4781   |
| 9.0689        | 1.0   | 3504  | 15.5744         | 0.6010    | 0.6196 | 0.6102 | 0.6190   |
| 8.5420        | 2.0   | 7008  | 15.4129         | 0.6088    | 0.6253 | 0.6170 | 0.6247   |
| 7.8106        | 3.0   | 10512 | 14.3562         | 0.6138    | 0.6328 | 0.6232 | 0.6322   |
| 7.6303        | 4.0   | 14016 | 13.9741         | 0.6157    | 0.6372 | 0.6262 | 0.6366   |
| 7.6930        | 5.0   | 17520 | 13.8324         | 0.6262    | 0.6402 | 0.6331 | 0.6397   |
| 7.4897        | 6.0   | 21024 | 13.9649         | 0.6144    | 0.6323 | 0.6232 | 0.6318   |
| 7.3819        | 7.0   | 24528 | 13.4877         | 0.6273    | 0.6407 | 0.6339 | 0.6401   |
| 7.4083        | 8.0   | 28032 | 13.7249         | 0.6321    | 0.6402 | 0.6362 | 0.6397   |
| 7.0140        | 9.0   | 31536 | 13.5219         | 0.6168    | 0.6389 | 0.6277 | 0.6383   |
| 7.7287        | 10.0  | 35040 | 13.9274         | 0.6274    | 0.6398 | 0.6335 | 0.6392   |


### Framework versions

- Transformers 5.2.0
- Pytorch 2.10.0+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2