---
license: apache-2.0
base_model: google/mt5-large
tags:
- generated_from_trainer
model-index:
- name: models
  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. -->

# models

This model is a fine-tuned version of [google/mt5-large](https://huggingface.co/google/mt5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2777

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 9.9229        | 0.0699 | 500   | 0.9269          |
| 0.6121        | 0.1398 | 1000  | 0.4268          |
| 0.4573        | 0.2097 | 1500  | 0.3790          |
| 0.4395        | 0.2796 | 2000  | 0.3563          |
| 0.3979        | 0.3495 | 2500  | 0.3520          |
| 0.3914        | 0.4193 | 3000  | 0.3390          |
| 0.375         | 0.4892 | 3500  | 0.3214          |
| 0.3856        | 0.5591 | 4000  | 0.3217          |
| 0.3482        | 0.6290 | 4500  | 0.3143          |
| 0.3643        | 0.6989 | 5000  | 0.3090          |
| 0.3541        | 0.7688 | 5500  | 0.3067          |
| 0.3471        | 0.8387 | 6000  | 0.3024          |
| 0.3374        | 0.9086 | 6500  | 0.2975          |
| 0.3675        | 0.9785 | 7000  | 0.2936          |
| 0.3261        | 1.0484 | 7500  | 0.2915          |
| 0.3206        | 1.1183 | 8000  | 0.2928          |
| 0.3258        | 1.1881 | 8500  | 0.2848          |
| 0.3244        | 1.2580 | 9000  | 0.2866          |
| 0.3006        | 1.3279 | 9500  | 0.2853          |
| 0.3204        | 1.3978 | 10000 | 0.2821          |
| 0.3088        | 1.4677 | 10500 | 0.2827          |
| 0.2958        | 1.5376 | 11000 | 0.2820          |
| 0.3031        | 1.6075 | 11500 | 0.2789          |
| 0.3153        | 1.6774 | 12000 | 0.2812          |
| 0.2941        | 1.7473 | 12500 | 0.2786          |
| 0.3025        | 1.8172 | 13000 | 0.2790          |
| 0.2983        | 1.8871 | 13500 | 0.2775          |
| 0.3019        | 1.9569 | 14000 | 0.2777          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1