---
language:
- en
- he
tags:
- generated_from_trainer
model-index:
- name: marian_base
  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. -->

# marian_base

This model is a fine-tuned version of [orendar/en_he_base](https://huggingface.co/orendar/en_he_base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6365

## 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: 0.0001
- train_batch_size: 160
- eval_batch_size: 160
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 320
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 2.125         | 1.0   | 30633  | 2.0720          |
| 1.9288        | 2.0   | 61266  | 1.9033          |
| 1.8387        | 3.0   | 91899  | 1.8330          |
| 1.7832        | 4.0   | 122532 | 1.7864          |
| 1.7445        | 5.0   | 153165 | 1.7592          |
| 1.7152        | 6.0   | 183798 | 1.7404          |
| 1.6933        | 7.0   | 214431 | 1.7208          |
| 1.6743        | 8.0   | 245064 | 1.7005          |
| 1.6561        | 9.0   | 275697 | 1.6907          |
| 1.6431        | 10.0  | 306330 | 1.6903          |
| 1.6282        | 11.0  | 336963 | 1.6801          |
| 1.6173        | 12.0  | 367596 | 1.6714          |
| 1.6061        | 13.0  | 398229 | 1.6634          |
| 1.5971        | 14.0  | 428862 | 1.6543          |
| 1.5867        | 15.0  | 459495 | 1.6488          |
| 1.5781        | 16.0  | 490128 | 1.6447          |
| 1.5684        | 17.0  | 520761 | 1.6388          |
| 1.5597        | 18.0  | 551394 | 1.6416          |
| 1.5521        | 19.0  | 582027 | 1.6370          |
| 1.5438        | 20.0  | 612660 | 1.6365          |


### Framework versions

- Transformers 4.18.0.dev0
- Pytorch 1.11.0+cu102
- Datasets 1.18.4
- Tokenizers 0.11.6