metadata
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: ModernBERT-cats-and-dogs
results: []
ModernBERT-cats-and-dogs
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: 0.0000
- F1: 1.0
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: 32
- eval_batch_size: 16
- seed: 42
- 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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 15 | 0.0926 | 0.9792 |
| No log | 2.0 | 30 | 0.0001 | 1.0 |
| No log | 3.0 | 45 | 0.0001 | 1.0 |
| No log | 4.0 | 60 | 0.0000 | 1.0 |
| No log | 5.0 | 75 | 0.0000 | 1.0 |
| No log | 6.0 | 90 | 0.0000 | 1.0 |
| 0.0001 | 7.0 | 105 | 0.0000 | 1.0 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.5.0+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0