transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:grammarly/coedit-large license:cc-by-nc-4.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: cc-by-nc-4.0
base_model: grammarly/coedit-large
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: spanish_gec
  results: []
---

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

This model is a fine-tuned version of [grammarly/coedit-large](https://huggingface.co/grammarly/coedit-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5136
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 0.0

## 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: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.0           | 1.0   | 4281  | 0.5136          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
| 0.0           | 2.0   | 8563  | 0.5136          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
| 0.0           | 3.0   | 12844 | 0.5136          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
| 0.0           | 4.0   | 17126 | 0.5136          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |
| 0.0           | 5.0   | 21405 | 0.5136          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0     |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
