metadata
tags:
- generated_from_trainer
datasets:
- eli5_category
model-index:
- name: my_awesome_eli5_clm-model-no-mlp-attn-15
results: []
my_awesome_eli5_clm-model-no-mlp-attn-15
This model is a fine-tuned version of on the eli5_category dataset. It achieves the following results on the evaluation set:
- Loss: 4.1544
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.3748 | 1.0 | 3582 | 4.2940 |
| 4.3221 | 2.0 | 7164 | 4.2542 |
| 4.2832 | 3.0 | 10746 | 4.2297 |
| 4.2567 | 4.0 | 14328 | 4.2082 |
| 4.2315 | 5.0 | 17910 | 4.1891 |
| 4.2127 | 6.0 | 21492 | 4.1764 |
| 4.195 | 7.0 | 25074 | 4.1666 |
| 4.1885 | 8.0 | 28656 | 4.1596 |
| 4.1839 | 9.0 | 32238 | 4.1548 |
| 4.1807 | 10.0 | 35820 | 4.1544 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1