metadata
library_name: transformers
license: apache-2.0
base_model: answerdotai/ModernBERT-large
tags:
- generated_from_trainer
model-index:
- name: modernbert_large_likes_predictor
results: []
modernbert_large_likes_predictor
This model is a fine-tuned version of answerdotai/ModernBERT-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2319
- Rmse: 0.2319
- Mae: 0.3442
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: 6.000000000000001e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 12
- total_train_batch_size: 24
- 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_ratio: 0.15
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rmse | Mae |
|---|---|---|---|---|---|
| 3.0522 | 0.4971 | 150 | 0.3021 | 0.3021 | 0.4136 |
| 3.7437 | 0.9942 | 300 | 0.3355 | 0.3355 | 0.4575 |
| 3.0905 | 1.4905 | 450 | 0.2626 | 0.2626 | 0.3680 |
| 1.7883 | 1.9876 | 600 | 0.2319 | 0.2319 | 0.3442 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1