---
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-large
tags:
- generated_from_trainer
model-index:
- name: ModernBERT-large-anion.train.no.negation.true.irrelevant1e-06-64
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ModernBERT-large-anion.train.no.negation.true.irrelevant1e-06-64

This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3965

## 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: 1e-06
- train_batch_size: 256
- eval_batch_size: 1024
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6013        | 1.0   | 358  | 0.5308          |
| 0.512         | 2.0   | 716  | 0.4992          |
| 0.4833        | 3.0   | 1074 | 0.4760          |
| 0.4481        | 4.0   | 1432 | 0.4556          |
| 0.4401        | 5.0   | 1790 | 0.4365          |
| 0.4183        | 6.0   | 2148 | 0.4324          |
| 0.4104        | 7.0   | 2506 | 0.4216          |
| 0.3967        | 8.0   | 2864 | 0.4175          |
| 0.3934        | 9.0   | 3222 | 0.4152          |
| 0.3908        | 10.0  | 3580 | 0.4104          |
| 0.3876        | 11.0  | 3938 | 0.4056          |
| 0.378         | 12.0  | 4296 | 0.4108          |
| 0.3764        | 13.0  | 4654 | 0.4022          |
| 0.3754        | 14.0  | 5012 | 0.4010          |
| 0.3585        | 15.0  | 5370 | 0.3980          |
| 0.3565        | 16.0  | 5728 | 0.3993          |
| 0.3584        | 17.0  | 6086 | 0.3977          |
| 0.3572        | 18.0  | 6444 | 0.3976          |
| 0.3415        | 19.0  | 6802 | 0.3996          |
| 0.3416        | 20.0  | 7160 | 0.3955          |
| 0.3433        | 21.0  | 7518 | 0.3984          |
| 0.3349        | 22.0  | 7876 | 0.3951          |
| 0.3306        | 23.0  | 8234 | 0.3935          |
| 0.3363        | 24.0  | 8592 | 0.3976          |
| 0.3302        | 25.0  | 8950 | 0.3961          |
| 0.3181        | 26.0  | 9308 | 0.3965          |


### Framework versions

- Transformers 4.51.2
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1