---
library_name: transformers
base_model: siebert/sentiment-roberta-large-english
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_test_model
  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. -->

# my_test_model

This model is a fine-tuned version of [siebert/sentiment-roberta-large-english](https://huggingface.co/siebert/sentiment-roberta-large-english) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2097
- Accuracy: 0.5209

## 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: 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
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6541        | 1.0   | 3044 | 1.0627          | 0.5209   |
| 0.6093        | 2.0   | 6088 | 1.2023          | 0.5209   |
| 0.5841        | 3.0   | 9132 | 1.2097          | 0.5209   |


### Framework versions

- Transformers 4.50.0.dev0
- Pytorch 2.8.0.dev20250318
- Datasets 3.3.2
- Tokenizers 0.21.0