README.md

---
license: cc-by-nc-4.0
base_model: grammarly/coedit-large
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: chayankb_model_checkpoints
  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. -->

# chayankb_model_checkpoints

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: 0.6451
- Rouge1: 42.0175
- Rouge2: 22.1212
- Rougel: 42.0175
- Rougelsum: 42.0175
- 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
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 1    | 0.6473          | 42.0175 | 22.1212 | 42.0175 | 42.0175   | 19.0    |
| No log        | 2.0   | 2    | 0.6451          | 42.0175 | 22.1212 | 42.0175 | 42.0175   | 19.0    |
| No log        | 3.0   | 3    | 0.6460          | 42.0175 | 22.1212 | 42.0175 | 42.0175   | 19.0    |
| No log        | 4.0   | 4    | 0.6457          | 42.0175 | 22.1212 | 42.0175 | 42.0175   | 19.0    |
| No log        | 5.0   | 5    | 0.6458          | 42.0175 | 22.1212 | 42.0175 | 42.0175   | 19.0    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0