---
license: mit
base_model: mhr2004/roberta-large-nsp-1000000-1e-06-32
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: condaqa-roberta-large-nsp-1000000-1e-06-32-512-1e-05-8
  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. -->

# condaqa-roberta-large-nsp-1000000-1e-06-32-512-1e-05-8

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: 0.7947
- Accuracy: 0.6388

## 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-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 183  | 0.8783          | 0.4703   |
| 0.9921        | 2.0   | 366  | 0.7887          | 0.6027   |
| 0.8971        | 3.0   | 549  | 0.8484          | 0.5802   |
| 0.7713        | 4.0   | 732  | 0.7501          | 0.6595   |
| 0.638         | 5.0   | 915  | 0.9089          | 0.6486   |
| 0.5261        | 6.0   | 1098 | 0.8858          | 0.6604   |
| 0.4307        | 7.0   | 1281 | 0.9207          | 0.6477   |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1