---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: roberta_nba_v2
  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_nba_v2

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8231

## 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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4838        | 1.0   | 193  | 0.5098          |
| 0.4339        | 2.0   | 386  | 0.5224          |
| 0.3639        | 3.0   | 579  | 0.5431          |
| 0.4189        | 4.0   | 772  | 0.4780          |
| 0.3729        | 5.0   | 965  | 0.6443          |
| 0.1509        | 6.0   | 1158 | 0.6412          |
| 0.0923        | 7.0   | 1351 | 0.7526          |
| 0.0256        | 8.0   | 1544 | 0.7852          |
| 0.1447        | 9.0   | 1737 | 0.8347          |
| 0.0011        | 10.0  | 1930 | 0.8231          |


### Framework versions

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