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base_model: Dhahlan2000/Simple_Translation-model-for-GPT-v11
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: Simple_Translation-model-for-GPT-v12
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-v12
This model is a fine-tuned version of [Dhahlan2000/Simple_Translation-model-for-GPT-v11](https://huggingface.co/Dhahlan2000/Simple_Translation-model-for-GPT-v11) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3112
- Bleu: 16.4275
- Gen Len: 18.492
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.4289 | 1.0 | 9282 | 0.3202 | 16.1676 | 18.4873 |
| 0.4045 | 2.0 | 18564 | 0.3112 | 16.4275 | 18.492 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
|