---
library_name: transformers
license: apache-2.0
base_model: MohamedAshraf701/custom-T5
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 [MohamedAshraf701/custom-T5](https://huggingface.co/MohamedAshraf701/custom-T5) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9987

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.9825 | 28   | 1.2638          |
| No log        | 2.0    | 57   | 1.1696          |
| No log        | 2.9825 | 85   | 1.1032          |
| No log        | 4.0    | 114  | 1.0675          |
| No log        | 4.9825 | 142  | 1.0436          |
| No log        | 6.0    | 171  | 1.0258          |
| No log        | 6.9825 | 199  | 1.0137          |
| No log        | 8.0    | 228  | 1.0049          |
| No log        | 8.9825 | 256  | 1.0000          |
| No log        | 9.8246 | 280  | 0.9987          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1