---
library_name: transformers
base_model: corbinvking/rainmaker-roberta
tags:
- generated_from_trainer
model-index:
- name: rainmaker-roberta-qa
  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. -->

# rainmaker-roberta-qa

This model is a fine-tuned version of [corbinvking/rainmaker-roberta](https://huggingface.co/corbinvking/rainmaker-roberta) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4620

## 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: 5e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.9469        | 0.3603 | 200  | 1.7302          |
| 1.6094        | 0.7206 | 400  | 1.4620          |


### Framework versions

- Transformers 4.50.3
- Pytorch 2.5.1+cu121
- Datasets 3.5.0
- Tokenizers 0.21.1