---
library_name: transformers
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: Ms_Marcoasksciencemodeling
  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. -->

# Ms_Marcoasksciencemodeling

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4125

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.927         | 1.0   | 2000  | 0.8240          |
| 0.7677        | 2.0   | 4000  | 0.6698          |
| 0.6902        | 3.0   | 6000  | 0.5840          |
| 0.6021        | 4.0   | 8000  | 0.5648          |
| 0.5112        | 5.0   | 10000 | 0.5046          |
| 0.5298        | 6.0   | 12000 | 0.4691          |
| 0.5111        | 7.0   | 14000 | 0.4506          |
| 0.4814        | 8.0   | 16000 | 0.4343          |
| 0.4725        | 9.0   | 18000 | 0.4140          |
| 0.4238        | 10.0  | 20000 | 0.4214          |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3