metadata
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
model-index:
- name: ModernBERT-hf-posts-classifier
results: []
ModernBERT-hf-posts-classifier
This model is a fine-tuned version of answerdotai/ModernBERT-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2372
- Micro F1: 0.4251
- Macro F1: 0.0459
- Weighted F1: 0.2837
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Micro F1 | Macro F1 | Weighted F1 |
|---|---|---|---|---|---|---|
| No log | 1.0 | 15 | 0.2547 | 0.4621 | 0.0473 | 0.2926 |
| No log | 2.0 | 30 | 0.2524 | 0.3676 | 0.0386 | 0.2377 |
| No log | 3.0 | 45 | 0.2412 | 0.4291 | 0.0491 | 0.2895 |
| No log | 4.0 | 60 | 0.2378 | 0.4291 | 0.0460 | 0.2846 |
| No log | 4.7018 | 70 | 0.2372 | 0.4251 | 0.0459 | 0.2837 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.0+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0