metadata
tags:
- generated_from_trainer
model-index:
- name: pretraining
results: []
pretraining
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9934
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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- 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 |
|---|---|---|---|
| 0.9973 | 1.0 | 13 | 0.9918 |
| 0.9964 | 2.0 | 26 | 0.9961 |
| 0.9966 | 3.0 | 39 | 0.9974 |
| 0.996 | 4.0 | 52 | 0.9960 |
| 0.996 | 5.0 | 65 | 1.0023 |
| 0.9966 | 6.0 | 78 | 0.9973 |
| 0.9953 | 7.0 | 91 | 0.9934 |
| 0.9972 | 8.0 | 104 | 0.9954 |
| 1.0003 | 9.0 | 117 | 0.9965 |
| 0.9975 | 10.0 | 130 | 0.9989 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.2