---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-ar-en
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: bot_train_am_7
  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. -->

# bot_train_am_7

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5408
- Bleu: 33.1944
- Gen Len: 12.2599

## 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: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 2.2203        | 1.0   | 984  | 1.7126          | 25.9506 | 12.0381 |
| 1.5778        | 2.0   | 1968 | 1.5978          | 28.5264 | 11.8927 |
| 1.3114        | 3.0   | 2952 | 1.5466          | 30.454  | 12.0183 |
| 1.1266        | 4.0   | 3936 | 1.5216          | 31.2974 | 12.1139 |
| 0.9856        | 5.0   | 4920 | 1.5155          | 31.7487 | 12.0509 |
| 0.8635        | 6.0   | 5904 | 1.5146          | 32.1394 | 12.1887 |
| 0.7871        | 7.0   | 6888 | 1.5223          | 32.7087 | 12.2431 |
| 0.7064        | 8.0   | 7872 | 1.5384          | 33.1917 | 12.1409 |
| 0.6409        | 9.0   | 8856 | 1.5408          | 33.1944 | 12.2599 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1