---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mt5-aym-lex-try3
  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-aym-lex-try3

This model is a fine-tuned version of [alvations/mt5-aym-lex](https://huggingface.co/alvations/mt5-aym-lex) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1687
- Chrf: 20.013
- Bleu: 4.4299
- Gen Len: 17.1254

## 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: 5e-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
- lr_scheduler_warmup_steps: 5
- training_steps: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Chrf    | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|
| 0.2142        | 0.0   | 20   | 0.1750          | 20.6672 | 4.6405 | 17.0733 |
| 0.1881        | 0.01  | 40   | 0.1704          | 20.1942 | 4.484  | 17.1141 |
| 0.2355        | 0.01  | 60   | 0.1690          | 20.0147 | 4.4349 | 17.1302 |
| 0.1939        | 0.02  | 80   | 0.1688          | 20.0311 | 4.4427 | 17.1319 |
| 0.1985        | 0.02  | 100  | 0.1687          | 20.013  | 4.4299 | 17.1254 |


### Framework versions

- Transformers 4.29.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3