metadata
library_name: transformers
base_model: corbinvking/rainmaker-roberta
tags:
- generated_from_trainer
model-index:
- name: rainmaker-roberta-qa
results: []
rainmaker-roberta-qa
This model is a fine-tuned version of 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