metadata
tags:
- generated_from_trainer
datasets:
- eli5_category
model-index:
- name: my_awesome_eli5_clm-model-no-mlp-attn-12
results: []
my_awesome_eli5_clm-model-no-mlp-attn-12
This model is a fine-tuned version of on the eli5_category dataset. It achieves the following results on the evaluation set:
- Loss: 4.3354
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 |
|---|---|---|---|
| 5.1962 | 1.0 | 3582 | 4.9830 |
| 4.8627 | 2.0 | 7164 | 4.6873 |
| 4.7021 | 3.0 | 10746 | 4.5549 |
| 4.6082 | 4.0 | 14328 | 4.4773 |
| 4.5405 | 5.0 | 17910 | 4.4202 |
| 4.4938 | 6.0 | 21492 | 4.3894 |
| 4.4539 | 7.0 | 25074 | 4.3626 |
| 4.4373 | 8.0 | 28656 | 4.3480 |
| 4.4261 | 9.0 | 32238 | 4.3379 |
| 4.4208 | 10.0 | 35820 | 4.3354 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1