modernbert-llm-sentiment
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: nan
- F1: 0.2648
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 591.3904 | 0.9937 | 119 | nan | 0.2648 |
| 0.0 | 1.9937 | 238 | nan | 0.2648 |
Framework versions
- Transformers 4.48.0.dev0
- Pytorch 2.6.0a0+df5bbc09d1.nv24.12
- Datasets 3.1.0
- Tokenizers 0.21.0
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Model tree for aneespatka/modernbert-llm-sentiment
Base model
answerdotai/ModernBERT-base