metadata
base_model: eddieman78/scripts-coref-mem-base
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: scripts-two-coref-mem-base
results: []
scripts-two-coref-mem-base
This model is a fine-tuned version of eddieman78/scripts-coref-mem-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0012
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0035 | 1.0 | 1807 | 0.0028 |
| 0.0029 | 2.0 | 3614 | 0.0025 |
| 0.0025 | 3.0 | 5421 | 0.0023 |
| 0.0021 | 4.0 | 7228 | 0.0021 |
| 0.0017 | 5.0 | 9035 | 0.0020 |
| 0.0015 | 6.0 | 10842 | 0.0017 |
| 0.0014 | 7.0 | 12649 | 0.0017 |
| 0.0015 | 8.0 | 14456 | 0.0016 |
| 0.0013 | 9.0 | 16263 | 0.0014 |
| 0.0013 | 10.0 | 18070 | 0.0014 |
| 0.0013 | 11.0 | 19877 | 0.0013 |
| 0.0014 | 12.0 | 21684 | 0.0013 |
| 0.0013 | 13.0 | 23491 | 0.0012 |
| 0.0013 | 14.0 | 25298 | 0.0012 |
| 0.0014 | 15.0 | 27105 | 0.0012 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.17.0
- Tokenizers 0.19.1