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---
library_name: peft
license: apache-2.0
base_model: answerdotai/ModernBERT-base
tags:
- generated_from_trainer
model-index:
- name: popular-goose-411
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. -->
# popular-goose-411
This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6311
- Hamming Loss: 0.3421
- Zero One Loss: 0.9988
- Jaccard Score: 0.8636
- Hamming Loss Optimised: 0.1124
- Hamming Loss Threshold: 0.8318
- Zero One Loss Optimised: 0.9275
- Zero One Loss Threshold: 0.6512
- Jaccard Score Optimised: 0.8578
- Jaccard Score Threshold: 0.5254
## 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: 2.763618769712032e-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 2024
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9266629421127196,0.9390598859734118) and epsilon=1e-07 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
### 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 | 0.6402 | 0.3553 | 0.9988 | 0.8655 | 0.1123 | 0.8748 | 0.9300 | 0.6583 | 0.8587 | 0.5286 |
| No log | 2.0 | 200 | 0.6311 | 0.3421 | 0.9988 | 0.8636 | 0.1124 | 0.8318 | 0.9275 | 0.6512 | 0.8578 | 0.5254 |
### Framework versions
- PEFT 0.13.2
- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0 |