---
base_model: ndiy/ASAP_SENT
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ASAP_SENT
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ASAP_SENT

This model is a fine-tuned version of [ndiy/ASAP_SENT](https://huggingface.co/ndiy/ASAP_SENT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0438
- Accuracy: 0.5719

## 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: 3e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6583        | 1.0   | 1152 | 1.0608          | 0.5737   |
| 0.7537        | 2.0   | 2304 | 1.0438          | 0.5719   |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2