metadata
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: remove_copy_transformer
results: []
remove_copy_transformer
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0020
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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.1594 | 1.0 | 28 | 2.8804 |
| 2.7543 | 2.0 | 56 | 2.7460 |
| 2.635 | 3.0 | 84 | 2.6926 |
| 2.5946 | 4.0 | 112 | 2.6332 |
| 2.5443 | 5.0 | 140 | 2.5994 |
| 2.5115 | 6.0 | 168 | 2.5734 |
| 2.4775 | 7.0 | 196 | 2.5500 |
| 2.43 | 8.0 | 224 | 2.5322 |
| 2.4216 | 9.0 | 252 | 2.5236 |
| 2.3892 | 10.0 | 280 | 2.5190 |
| 0.0042 | 1.0 | 27339 | 0.0036 |
| 0.0021 | 2.0 | 54678 | 0.0020 |
Framework versions
- Transformers 4.50.0.dev0
- Pytorch 2.5.1+cxx11.abi
- Datasets 3.4.0
- Tokenizers 0.21.1