---
library_name: peft
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
model-index:
- name: Arabic_CrossPrompt_FineTuningMT5_noAug_TestTask1_organization
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Arabic_CrossPrompt_FineTuningMT5_noAug_TestTask1_organization

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 60.2188

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.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: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0107 | 2    | 60.25           |
| No log        | 0.0214 | 4    | 60.2188         |
| No log        | 0.0321 | 6    | 60.2188         |
| No log        | 0.0428 | 8    | 60.2188         |
| No log        | 0.0535 | 10   | 60.2188         |
| No log        | 0.0642 | 12   | 60.2188         |
| No log        | 0.0749 | 14   | 60.2188         |


### Framework versions

- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0