pytorch generated_from_trainer base_model:roberta-base license:mit region:us
---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: Sentiment-roberta-base-inter-shuffle-human_annots
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Sentiment-roberta-base-inter-shuffle-human_annots

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: 1.0444

## 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: 0.0001
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 57.421        | 1.0   | 176  | 75.0667         |
| 22.272        | 2.0   | 352  | 24.1163         |
| 3.2164        | 3.0   | 528  | 7.1112          |
| 1.6922        | 4.0   | 704  | 2.8765          |
| 0.7144        | 5.0   | 880  | 1.0444          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.6.1
- Tokenizers 0.14.1
