---
license: apache-2.0
base_model: t5-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: t5-large-bn-adapter-6.34M-snli-model3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-large-bn-adapter-6.34M-snli-model3

This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6114
- Accuracy: 0.802

## 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: 32
- eval_batch_size: 32
- seed: 29
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.3085        | 1.0   | 17168 | 0.2388          | 0.9152   |
| 0.2835        | 2.0   | 34336 | 0.2279          | 0.9194   |
| 0.2635        | 3.0   | 51504 | 0.2286          | 0.9223   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0