|
--- |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: pretraining |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# pretraining |
|
|
|
This model is a fine-tuned version of [](https://huggingface.co/) 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 |
|
|
