metadata
base_model: reza-alipour/ft5
tags:
- generated_from_trainer
datasets:
- reza-alipour/Text-Edit-Instruct-Preprocessed-4m
metrics:
- rouge
model-index:
- name: ft5
results:
- task:
name: Summarization
type: summarization
dataset:
name: reza-alipour/Text-Edit-Instruct-Preprocessed-4m
type: reza-alipour/Text-Edit-Instruct-Preprocessed-4m
metrics:
- name: Rouge1
type: rouge
value: 86.5313
ft5
This model is a fine-tuned version of reza-alipour/ft5 on the reza-alipour/Text-Edit-Instruct-Preprocessed-4m dataset. It achieves the following results on the evaluation set:
- Loss: 0.3032
- Rouge1: 86.5313
- Rouge2: 75.3351
- Rougel: 85.9565
- Rougelsum: 85.9785
- Gen Len: 24.5688
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: 7e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 1337
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.3601 | 1.0 | 31042 | 0.3032 | 86.5313 | 75.3351 | 85.9565 | 85.9785 | 24.5688 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.15.0