---
tags:
- generated_from_trainer
model-index:
- name: m2m_pt
  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. -->

# m2m_pt

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4682

## 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: 12
- eval_batch_size: 12
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.7388        | 0.09  | 2000  | 0.6464          |
| 0.6096        | 0.18  | 4000  | 0.5477          |
| 0.612         | 0.27  | 6000  | 0.5144          |
| 0.53          | 0.36  | 8000  | 0.4965          |
| 0.5744        | 0.45  | 10000 | 0.4856          |
| 0.5435        | 0.54  | 12000 | 0.4776          |
| 0.5428        | 0.63  | 14000 | 0.4726          |
| 0.5065        | 0.72  | 16000 | 0.4696          |
| 0.5287        | 0.81  | 18000 | 0.4685          |
| 0.5032        | 0.9   | 20000 | 0.4682          |
| 0.5451        | 0.99  | 22000 | 0.4682          |


### Framework versions

- Transformers 4.40.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.20.0
- Tokenizers 0.15.2