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

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0492
- Gen Len: 39.5298
- Em Ic: 0.9334
- Em: 0.6384
- Precision: 0.9141
- Recall: 0.8575
- F1: 0.8248
- Levinstein Ratio: 0.9955

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:------:|:------:|:----------------:|
| 0.042         | 1.0   | 2159 | 0.0500          | 39.4971 | 0.9328 | 0.6256 | 0.9175    | 0.8452 | 0.8165 | 0.9954           |
| 0.0342        | 2.0   | 4318 | 0.0492          | 39.5158 | 0.9334 | 0.6361 | 0.9159    | 0.8546 | 0.8229 | 0.9955           |
| 0.0346        | 3.0   | 6477 | 0.0492          | 39.5298 | 0.9334 | 0.6384 | 0.9141    | 0.8575 | 0.8248 | 0.9955           |


### Framework versions

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