---
library_name: transformers
license: mit
base_model: mhr2004/roberta-base-nsp-1000000-1e-06-32
tags:
- generated_from_trainer
model-index:
- name: roberta-base-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-base-nsp-1000000-1e-06-32-negcommonsensebalanced-1e-06-64

This model is a fine-tuned version of [mhr2004/roberta-base-nsp-1000000-1e-06-32](https://huggingface.co/mhr2004/roberta-base-nsp-1000000-1e-06-32) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4028

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.5812        | 1.0   | 795   | 0.5384          |
| 0.5273        | 2.0   | 1590  | 0.5009          |
| 0.5051        | 3.0   | 2385  | 0.4822          |
| 0.4865        | 4.0   | 3180  | 0.4731          |
| 0.4723        | 5.0   | 3975  | 0.4582          |
| 0.4616        | 6.0   | 4770  | 0.4602          |
| 0.4526        | 7.0   | 5565  | 0.4426          |
| 0.44          | 8.0   | 6360  | 0.4402          |
| 0.4329        | 9.0   | 7155  | 0.4316          |
| 0.4288        | 10.0  | 7950  | 0.4282          |
| 0.4174        | 11.0  | 8745  | 0.4234          |
| 0.4134        | 12.0  | 9540  | 0.4205          |
| 0.4101        | 13.0  | 10335 | 0.4203          |
| 0.4076        | 14.0  | 11130 | 0.4152          |
| 0.4028        | 15.0  | 11925 | 0.4094          |
| 0.3963        | 16.0  | 12720 | 0.4103          |
| 0.393         | 17.0  | 13515 | 0.4088          |
| 0.3899        | 18.0  | 14310 | 0.4120          |
| 0.3897        | 19.0  | 15105 | 0.4050          |
| 0.3842        | 20.0  | 15900 | 0.4051          |
| 0.3839        | 21.0  | 16695 | 0.4050          |
| 0.3791        | 22.0  | 17490 | 0.4015          |
| 0.3801        | 23.0  | 18285 | 0.4035          |
| 0.3807        | 24.0  | 19080 | 0.4016          |
| 0.3738        | 25.0  | 19875 | 0.4028          |


### Framework versions

- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0