metadata
license: cc-by-nc-4.0
base_model: grammarly/coedit-large
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: chayankb_model_checkpoints
results: []
chayankb_model_checkpoints
This model is a fine-tuned version of 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