metadata
library_name: transformers
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: checkpoint2
results: []
checkpoint2
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3324
- F1: 0.8582
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- 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
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 20 | 0.2378 | 0.8690 |
| No log | 2.0 | 40 | 0.2461 | 0.8768 |
| No log | 3.0 | 60 | 0.2201 | 0.9192 |
Framework versions
- Transformers 4.54.1
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4