---
library_name: transformers
license: mit
base_model: mhr2004/roberta-base-pp-1000000-1e-06-128
tags:
- generated_from_trainer
model-index:
- name: roberta-base-pp-1000000-1e-06-128-negcommonsensebalanced-1e-06-256
  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-pp-1000000-1e-06-128-negcommonsensebalanced-1e-06-256

This model is a fine-tuned version of [mhr2004/roberta-base-pp-1000000-1e-06-128](https://huggingface.co/mhr2004/roberta-base-pp-1000000-1e-06-128) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4009

## 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: 256
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.5718        | 1.0   | 795   | 0.5297          |
| 0.5233        | 2.0   | 1590  | 0.4949          |
| 0.4986        | 3.0   | 2385  | 0.4810          |
| 0.4843        | 4.0   | 3180  | 0.4702          |
| 0.4699        | 5.0   | 3975  | 0.4565          |
| 0.4601        | 6.0   | 4770  | 0.4506          |
| 0.454         | 7.0   | 5565  | 0.4388          |
| 0.4446        | 8.0   | 6360  | 0.4368          |
| 0.4353        | 9.0   | 7155  | 0.4323          |
| 0.4274        | 10.0  | 7950  | 0.4255          |
| 0.4219        | 11.0  | 8745  | 0.4221          |
| 0.4178        | 12.0  | 9540  | 0.4173          |
| 0.4128        | 13.0  | 10335 | 0.4210          |
| 0.4099        | 14.0  | 11130 | 0.4135          |
| 0.4071        | 15.0  | 11925 | 0.4088          |
| 0.3983        | 16.0  | 12720 | 0.4081          |
| 0.3979        | 17.0  | 13515 | 0.4089          |
| 0.3961        | 18.0  | 14310 | 0.4083          |
| 0.3946        | 19.0  | 15105 | 0.4054          |
| 0.3899        | 20.0  | 15900 | 0.4030          |
| 0.3907        | 21.0  | 16695 | 0.4034          |
| 0.3831        | 22.0  | 17490 | 0.4006          |
| 0.3846        | 23.0  | 18285 | 0.4018          |
| 0.385         | 24.0  | 19080 | 0.4023          |
| 0.3796        | 25.0  | 19875 | 0.4009          |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0