|
---
|
|
library_name: peft
|
|
license: mit
|
|
base_model: FacebookAI/roberta-base
|
|
tags:
|
|
- generated_from_trainer
|
|
model-index:
|
|
- name: resilient-zebra-259
|
|
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. --> |
|
|
|
# resilient-zebra-259 |
|
|
|
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.7170 |
|
- Hamming Loss: 0.5784 |
|
- Zero One Loss: 1.0 |
|
- Jaccard Score: 0.8944 |
|
- Hamming Loss Optimised: 0.1123 |
|
- Hamming Loss Threshold: 0.5944 |
|
- Zero One Loss Optimised: 1.0 |
|
- Zero One Loss Threshold: 0.9000 |
|
- Jaccard Score Optimised: 0.8878 |
|
- Jaccard Score Threshold: 0.2889 |
|
|
|
## 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: 8.695048284400357e-06 |
|
- train_batch_size: 32 |
|
- eval_batch_size: 32 |
|
- seed: 2024 |
|
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
- lr_scheduler_type: linear |
|
- num_epochs: 4 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Hamming Loss | Zero One Loss | Jaccard Score | Hamming Loss Optimised | Hamming Loss Threshold | Zero One Loss Optimised | Zero One Loss Threshold | Jaccard Score Optimised | Jaccard Score Threshold | |
|
|:-------------:|:-----:|:----:|:---------------:|:------------:|:-------------:|:-------------:|:----------------------:|:----------------------:|:-----------------------:|:-----------------------:|:-----------------------:|:-----------------------:| |
|
| No log | 1.0 | 100 | 0.7232 | 0.5863 | 1.0 | 0.8933 | 0.1123 | 0.5944 | 1.0 | 0.9000 | 0.8878 | 0.2889 | |
|
| No log | 2.0 | 200 | 0.7204 | 0.5821 | 1.0 | 0.8930 | 0.1123 | 0.5944 | 1.0 | 0.9000 | 0.8878 | 0.2889 | |
|
| No log | 3.0 | 300 | 0.7180 | 0.5821 | 1.0 | 0.8943 | 0.1123 | 0.5944 | 1.0 | 0.9000 | 0.8878 | 0.2889 | |
|
| No log | 4.0 | 400 | 0.7170 | 0.5784 | 1.0 | 0.8944 | 0.1123 | 0.5944 | 1.0 | 0.9000 | 0.8878 | 0.2889 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.13.2 |
|
- Transformers 4.47.0 |
|
- Pytorch 2.5.1+cu124 |
|
- Datasets 3.1.0 |
|
- Tokenizers 0.21.0 |
