---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: mt5-gigatrue-embmodtest
  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. -->

# mt5-gigatrue-embmodtest

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 7.3662

## 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: 0.0003
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 9.2307        | 0.1015 | 3000  | 7.5733          |
| 8.3153        | 0.2030 | 6000  | 7.4610          |
| 8.245         | 0.3044 | 9000  | 7.4058          |
| 8.2157        | 0.4059 | 12000 | 7.3872          |
| 8.2014        | 0.5074 | 15000 | 7.3764          |
| 8.1962        | 0.6089 | 18000 | 7.3736          |
| 8.1911        | 0.7104 | 21000 | 7.3708          |
| 8.1927        | 0.8119 | 24000 | 7.3668          |
| 8.1863        | 0.9133 | 27000 | 7.3662          |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.20.3