---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
model-index:
- name: flan-t5-small-comma-correction
  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. -->

# flan-t5-small-comma-correction

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0662
- Gen Len: 39.2167
- Em Ic: 0.934
- Em: 0.5759
- Precision: 0.9177
- Recall: 0.7736
- F1: 0.7575
- Levinstein Ratio: 0.9954

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 200
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Gen Len | Em Ic  | Em     | Precision | Recall | F1     | Levinstein Ratio |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:------:|:------:|:----------------:|
| 0.0694        | 1.0   | 2159 | 0.0696          | 39.1396 | 0.9299 | 0.5543 | 0.9178    | 0.7509 | 0.7366 | 0.9951           |
| 0.0558        | 2.0   | 4318 | 0.0670          | 39.1904 | 0.9334 | 0.5736 | 0.9195    | 0.7678 | 0.7537 | 0.9954           |
| 0.0542        | 3.0   | 6477 | 0.0662          | 39.2167 | 0.934  | 0.5759 | 0.9177    | 0.7736 | 0.7575 | 0.9954           |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1