---
base_model: t2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: t2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t2

This model is a fine-tuned version of [t2](https://huggingface.co/t2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4588
- Accuracy: 0.5827

## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 1.0

### Training results



### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0