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---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: results
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. -->
# results
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7225
- Accuracy: 0.6416
## 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: 16
- eval_batch_size: 16
- 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 | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 3.6926 | 0.5587 | 100 | 2.4932 | 0.5508 |
| 3.4971 | 1.1173 | 200 | 2.1649 | 0.5738 |
| 2.7013 | 1.6760 | 300 | 2.1019 | 0.5801 |
| 2.0768 | 2.2346 | 400 | 2.4828 | 0.6241 |
| 1.4108 | 2.7933 | 500 | 2.3521 | 0.6471 |
| 1.0545 | 3.3520 | 600 | 2.5568 | 0.6115 |
| 0.707 | 3.9106 | 700 | 2.5198 | 0.6304 |
| 0.4998 | 4.4693 | 800 | 2.8322 | 0.6314 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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