|
--- |
|
license: mit |
|
library_name: peft |
|
tags: |
|
- generated_from_trainer |
|
base_model: roberta-base |
|
model-index: |
|
- name: roberta-base_IA3_lr0.0005_bs4_epoch20_wd0.01 |
|
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. --> |
|
|
|
# roberta-base_IA3_lr0.0005_bs4_epoch20_wd0.01 |
|
|
|
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.3406 |
|
|
|
## 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: 0.0005 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 500 |
|
- num_epochs: 20 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 19.5038 | 1.0 | 157 | 18.4857 | |
|
| 8.9314 | 2.0 | 314 | 5.8495 | |
|
| 5.4493 | 3.0 | 471 | 4.2791 | |
|
| 3.8453 | 4.0 | 628 | 3.4174 | |
|
| 3.4001 | 5.0 | 785 | 2.8767 | |
|
| 2.8518 | 6.0 | 942 | 2.5189 | |
|
| 2.7181 | 7.0 | 1099 | 2.2672 | |
|
| 2.3938 | 8.0 | 1256 | 2.0897 | |
|
| 2.2025 | 9.0 | 1413 | 1.9660 | |
|
| 2.1035 | 10.0 | 1570 | 1.8055 | |
|
| 1.9748 | 11.0 | 1727 | 1.6968 | |
|
| 1.8698 | 12.0 | 1884 | 1.6367 | |
|
| 1.7843 | 13.0 | 2041 | 1.5600 | |
|
| 1.7277 | 14.0 | 2198 | 1.5018 | |
|
| 1.6915 | 15.0 | 2355 | 1.4518 | |
|
| 1.5865 | 16.0 | 2512 | 1.4089 | |
|
| 1.5934 | 17.0 | 2669 | 1.3896 | |
|
| 1.5713 | 18.0 | 2826 | 1.3617 | |
|
| 1.5521 | 19.0 | 2983 | 1.3453 | |
|
| 1.5471 | 20.0 | 3140 | 1.3406 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.7.1 |
|
- Transformers 4.36.2 |
|
- Pytorch 2.0.1 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.15.0 |
