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---
library_name: transformers
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: classifier_t5
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. -->
# classifier_t5
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3982
- Accuracy: 0.8104
## 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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 0
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- num_epochs: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 453 | 0.5010 | 0.7267 |
| 0.6294 | 2.0 | 906 | 0.4777 | 0.7368 |
| 0.5164 | 3.0 | 1359 | 0.4693 | 0.7408 |
| 0.5244 | 4.0 | 1812 | 0.4956 | 0.7267 |
| 0.4941 | 5.0 | 2265 | 0.4455 | 0.7642 |
| 0.4639 | 6.0 | 2718 | 0.4134 | 0.8091 |
| 0.4617 | 7.0 | 3171 | 0.4029 | 0.8192 |
| 0.4461 | 8.0 | 3624 | 0.3982 | 0.8104 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1
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