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---
library_name: transformers
license: apache-2.0
base_model: T5-small
tags:
- generated_from_trainer
model-index:
- name: T5-OM
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. -->
# T5-OM
This model is a fine-tuned version of [T5-small](https://huggingface.co/T5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0076
- Quadruple Accuracy: 0.2846
## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use 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: 5
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Quadruple Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------------------:|
| 0.0553 | 1.0 | 468 | 0.0204 | 0.0030 |
| 0.0145 | 2.0 | 936 | 0.0101 | 0.2372 |
| 0.0202 | 3.0 | 1404 | 0.0083 | 0.2283 |
| 0.0142 | 4.0 | 1872 | 0.0077 | 0.2628 |
| 0.0135 | 5.0 | 2340 | 0.0076 | 0.2846 |
### Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0
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