---
base_model: mika5883/Pretrained_ReCl8
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: Full_NVP2500
  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. -->

# Full_NVP2500

This model is a fine-tuned version of [mika5883/Pretrained_ReCl8](https://huggingface.co/mika5883/Pretrained_ReCl8) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1406
- Bleu: 91.1196
- Gen Len: 23.5192

## 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: 3.83229e-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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 313  | 0.1551          | 90.3903 | 23.52   |
| 0.2682        | 2.0   | 626  | 0.1406          | 91.1196 | 23.5192 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2