---
library_name: transformers
base_model: FremyCompany/roberta-base-nl-oscar23
tags:
- generated_from_trainer
model-index:
- name: Robbert_base23_old_7neg_kd
  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. -->

# Robbert_base23_old_7neg_kd

This model is a fine-tuned version of [FremyCompany/roberta-base-nl-oscar23](https://huggingface.co/FremyCompany/roberta-base-nl-oscar23) on an unknown dataset.

## 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: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.55.4
- Pytorch 2.7.1+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4