metadata
library_name: transformers
license: agpl-3.0
base_model: RonTon05/model_content_V2_test
tags:
- generated_from_trainer
model-index:
- name: 3adapter_ronbackbone_2_task
results: []
3adapter_ronbackbone_2_task
This model is a fine-tuned version of RonTon05/model_content_V2_test on the None dataset. It achieves the following results on the evaluation set:
- Acc Classification: 0.8229
- F1 Classification: 0.7802
- Acc Content: 0.9692
- F1 Content: 0.9474
- Loss: 0.3420
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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: 5
Training results
| Training Loss | Epoch | Step | Acc Classification | F1 Classification | Acc Content | F1 Content | Validation Loss |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 276 | 0.7814 | 0.6988 | 0.9612 | 0.9345 | 0.4392 |
| 0.5301 | 2.0 | 552 | 0.8061 | 0.7603 | 0.9626 | 0.9367 | 0.3629 |
| 0.5301 | 3.0 | 828 | 0.8145 | 0.7695 | 0.9671 | 0.9439 | 0.3474 |
| 0.2514 | 4.0 | 1104 | 0.8231 | 0.7821 | 0.9689 | 0.9470 | 0.3383 |
| 0.2514 | 5.0 | 1380 | 0.8229 | 0.7802 | 0.9692 | 0.9474 | 0.3420 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.6.0+cu124
- Datasets 4.4.1
- Tokenizers 0.22.1