transformers tensorboard safetensors mt5 text2text-generation generated_from_trainer base_model:Buseak/spell_corrector_mt5_01012024 license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: Buseak/spell_corrector_mt5_01012024
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: spell_corrector_mt5_01012024_v2_inbalanced_mistakes
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# spell_corrector_mt5_01012024_v2_inbalanced_mistakes

This model is a fine-tuned version of [Buseak/spell_corrector_mt5_01012024](https://huggingface.co/Buseak/spell_corrector_mt5_01012024) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4841
- Bleu: 35.9177
- Gen Len: 15.7215

## 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: 15

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.1495        | 1.0   | 976   | 0.6422          | 32.0204 | 15.7943 |
| 1.0698        | 2.0   | 1952  | 0.6209          | 32.5167 | 15.7969 |
| 0.9987        | 3.0   | 2928  | 0.5965          | 33.0715 | 15.7826 |
| 0.9755        | 4.0   | 3904  | 0.5770          | 33.4511 | 15.7809 |
| 0.949         | 5.0   | 4880  | 0.5583          | 34.2697 | 15.7524 |
| 0.9232        | 6.0   | 5856  | 0.5379          | 34.6321 | 15.7416 |
| 0.9036        | 7.0   | 6832  | 0.5254          | 34.9265 | 15.7377 |
| 0.8923        | 8.0   | 7808  | 0.5141          | 35.161  | 15.7364 |
| 0.8771        | 9.0   | 8784  | 0.5077          | 35.3906 | 15.7275 |
| 0.8675        | 10.0  | 9760  | 0.5017          | 35.5138 | 15.7251 |
| 0.8517        | 11.0  | 10736 | 0.4940          | 35.7429 | 15.7199 |
| 0.8623        | 12.0  | 11712 | 0.4915          | 35.7791 | 15.7264 |
| 0.8569        | 13.0  | 12688 | 0.4881          | 35.8203 | 15.7232 |
| 0.8544        | 14.0  | 13664 | 0.4860          | 35.9037 | 15.7224 |
| 0.8657        | 15.0  | 14640 | 0.4841          | 35.9177 | 15.7215 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
