metadata
tags:
- generated_from_trainer
datasets:
- eli5_category
model-index:
- name: my_awesome_eli5_clm-model-attn-12
results: []
my_awesome_eli5_clm-model-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: 3.4030
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 |
|---|---|---|---|
| 3.4545 | 1.0 | 3582 | 3.4528 |
| 3.4072 | 2.0 | 7164 | 3.4336 |
| 3.3794 | 3.0 | 10746 | 3.4234 |
| 3.3596 | 4.0 | 14328 | 3.4161 |
| 3.3404 | 5.0 | 17910 | 3.4115 |
| 3.3273 | 6.0 | 21492 | 3.4083 |
| 3.3154 | 7.0 | 25074 | 3.4056 |
| 3.3068 | 8.0 | 28656 | 3.4048 |
| 3.3042 | 9.0 | 32238 | 3.4036 |
| 3.2991 | 10.0 | 35820 | 3.4030 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1