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

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: 0.2781
- Chrf: 15.5602
- Bleu: 0.7538
- Gen Len: 19.0

## 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: 1
- training_steps: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Chrf    | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|
| 0.2183        | 0.0   | 20   | 0.3002          | 16.5098 | 0.7277 | 19.0    |
| 0.1911        | 0.01  | 40   | 0.2852          | 16.9826 | 0.7635 | 19.0    |
| 0.2366        | 0.01  | 60   | 0.2800          | 15.7077 | 0.7476 | 19.0    |
| 0.1941        | 0.02  | 80   | 0.2785          | 15.5602 | 0.7538 | 19.0    |
| 0.1991        | 0.02  | 100  | 0.2781          | 15.5602 | 0.7538 | 19.0    |


### Framework versions

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