---
library_name: transformers
license: cc-by-4.0
base_model: Helsinki-NLP/opus-mt-tc-big-en-ar
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: Terjman-Large-v2
  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. -->

# Terjman-Large-v2

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-big-en-ar](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-en-ar) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.9483
- Bleu: 0.0891
- Gen Len: 511.0

## 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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Bleu   | Gen Len  |
|:-------------:|:------:|:----:|:---------------:|:------:|:--------:|
| 12.4538       | 0.1449 | 1000 | 6.3599          | 0.0191 | 511.0    |
| 12.5456       | 0.2899 | 2000 | 6.7320          | 0.0026 | 499.9054 |
| 12.0592       | 0.4348 | 3000 | 6.2157          | 0.0097 | 511.0    |
| 11.8591       | 0.5798 | 4000 | 6.1470          | 0.0269 | 511.0    |
| 11.776        | 0.7247 | 5000 | 6.0090          | 0.0469 | 511.0    |
| 11.3534       | 0.8696 | 6000 | 5.9483          | 0.0891 | 511.0    |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0