metadata
tags:
- generated_from_trainer
datasets:
- eli5_category
model-index:
- name: my_awesome_eli5_clm-model-large-no-mlp-attn-36
results: []
my_awesome_eli5_clm-model-large-no-mlp-attn-36
This model is a fine-tuned version of on the eli5_category dataset. It achieves the following results on the evaluation set:
- Loss: 3.7775
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 |
|---|---|---|---|
| 4.3559 | 1.0 | 3582 | 4.2432 |
| 4.0843 | 2.0 | 7164 | 4.0358 |
| 3.9495 | 3.0 | 10746 | 3.9407 |
| 3.8667 | 4.0 | 14328 | 3.8837 |
| 3.8039 | 5.0 | 17910 | 3.8424 |
| 3.7575 | 6.0 | 21492 | 3.8177 |
| 3.7185 | 7.0 | 25074 | 3.7990 |
| 3.6974 | 8.0 | 28656 | 3.7878 |
| 3.6828 | 9.0 | 32238 | 3.7794 |
| 3.671 | 10.0 | 35820 | 3.7775 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1