transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:Dhahlan2000/Simple_Translation-model-for-GPT-v7 base_model:finetune:Dhahlan2000/Simple_Translation-model-for-GPT-v7 autotrain_compatible text-generation-inference endpoints_compatible region:us
---
base_model: Dhahlan2000/Simple_Translation-model-for-GPT-v7
metrics:
- bleu
tags:
- generated_from_trainer
model-index:
- name: Simple_Translation-model-for-GPT-v8
  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. -->

# Simple_Translation-model-for-GPT-v8

This model is a fine-tuned version of [Dhahlan2000/Simple_Translation-model-for-GPT-v7](https://huggingface.co/Dhahlan2000/Simple_Translation-model-for-GPT-v7) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5116
- Bleu: 11.2953
- Gen Len: 18.488

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.7186        | 1.0   | 9282  | 0.5310          | 10.8985 | 18.48   |
| 0.692         | 2.0   | 18564 | 0.5116          | 11.2953 | 18.488  |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
