---
library_name: transformers
license: mit
base_model: mhr2004/roberta-large-pp-500000-1e-06-128
tags:
- generated_from_trainer
model-index:
- name: roberta-large-pp-500000-1e-06-128-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-pp-500000-1e-06-128-negcommonsensebalanced-1e-06-64

This model is a fine-tuned version of [mhr2004/roberta-large-pp-500000-1e-06-128](https://huggingface.co/mhr2004/roberta-large-pp-500000-1e-06-128) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3431

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.5214        | 1.0   | 795   | 0.4808          |
| 0.4627        | 2.0   | 1590  | 0.4284          |
| 0.4322        | 3.0   | 2385  | 0.4102          |
| 0.4075        | 4.0   | 3180  | 0.3885          |
| 0.3858        | 5.0   | 3975  | 0.3778          |
| 0.3741        | 6.0   | 4770  | 0.3692          |
| 0.3632        | 7.0   | 5565  | 0.3628          |
| 0.3502        | 8.0   | 6360  | 0.3584          |
| 0.3412        | 9.0   | 7155  | 0.3551          |
| 0.3293        | 10.0  | 7950  | 0.3609          |
| 0.3234        | 11.0  | 8745  | 0.3475          |
| 0.3112        | 12.0  | 9540  | 0.3456          |
| 0.3067        | 13.0  | 10335 | 0.3451          |
| 0.3011        | 14.0  | 11130 | 0.3437          |
| 0.296         | 15.0  | 11925 | 0.3457          |
| 0.2856        | 16.0  | 12720 | 0.3424          |
| 0.2837        | 17.0  | 13515 | 0.3402          |
| 0.2789        | 18.0  | 14310 | 0.3404          |
| 0.2758        | 19.0  | 15105 | 0.3401          |
| 0.2702        | 20.0  | 15900 | 0.3393          |
| 0.2708        | 21.0  | 16695 | 0.3439          |
| 0.2628        | 22.0  | 17490 | 0.3378          |
| 0.2625        | 23.0  | 18285 | 0.3432          |
| 0.259         | 24.0  | 19080 | 0.3409          |
| 0.2572        | 25.0  | 19875 | 0.3431          |


### Framework versions

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