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---
library_name: transformers
license: mit
base_model: mhr2004/roberta-large-nsp-1000000-1e-06-32
tags:
- generated_from_trainer
model-index:
- name: roberta-large-nsp-1000000-1e-06-32-negcommonsensebalanced-1e-06-64
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-large-nsp-1000000-1e-06-32-negcommonsensebalanced-1e-06-64
This model is a fine-tuned version of [mhr2004/roberta-large-nsp-1000000-1e-06-32](https://huggingface.co/mhr2004/roberta-large-nsp-1000000-1e-06-32) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3364
## 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: 1e-06
- train_batch_size: 256
- eval_batch_size: 1024
- seed: 42
- optimizer: Use 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: 30
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.5348 | 1.0 | 795 | 0.4701 |
| 0.4543 | 2.0 | 1590 | 0.4139 |
| 0.4173 | 3.0 | 2385 | 0.3899 |
| 0.3926 | 4.0 | 3180 | 0.3784 |
| 0.3702 | 5.0 | 3975 | 0.3663 |
| 0.3578 | 6.0 | 4770 | 0.3554 |
| 0.3472 | 7.0 | 5565 | 0.3466 |
| 0.3334 | 8.0 | 6360 | 0.3467 |
| 0.3206 | 9.0 | 7155 | 0.3425 |
| 0.3114 | 10.0 | 7950 | 0.3408 |
| 0.3033 | 11.0 | 8745 | 0.3340 |
| 0.2948 | 12.0 | 9540 | 0.3339 |
| 0.2858 | 13.0 | 10335 | 0.3385 |
| 0.2829 | 14.0 | 11130 | 0.3333 |
| 0.2775 | 15.0 | 11925 | 0.3334 |
| 0.2652 | 16.0 | 12720 | 0.3367 |
| 0.2645 | 17.0 | 13515 | 0.3364 |
### Framework versions
- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
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