---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
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 [t5-base](https://huggingface.co./t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9081

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.9289        | 0.32  | 10   | 3.2381          |
| 3.5665        | 0.64  | 20   | 2.7374          |
| 3.6622        | 0.96  | 30   | 2.4842          |
| 2.6751        | 1.28  | 40   | 2.2607          |
| 2.649         | 1.6   | 50   | 2.1196          |
| 2.3201        | 1.92  | 60   | 2.0067          |
| 2.2374        | 2.24  | 70   | 1.9490          |
| 2.1954        | 2.56  | 80   | 1.9210          |
| 2.3612        | 2.88  | 90   | 1.9081          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1