---
base_model: ybelkada/flan-t5-xl-sharded-bf16
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-xl-gen4
  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-xl-gen4

This model is a fine-tuned version of [ybelkada/flan-t5-xl-sharded-bf16](https://huggingface.co/ybelkada/flan-t5-xl-sharded-bf16) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6847
- Rouge1: 36.2186
- Rouge2: 27.5662
- Rougel: 32.6055
- Rougelsum: 32.8805
- Gen Len: 10.85

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 179  | 0.6847          | 36.2186 | 27.5662 | 32.6055 | 32.8805   | 10.85   |
| No log        | 2.0   | 358  | 0.6847          | 36.2186 | 27.5662 | 32.6055 | 32.8805   | 10.85   |
| 0.7514        | 3.0   | 537  | 0.6847          | 36.2186 | 27.5662 | 32.6055 | 32.8805   | 10.85   |
| 0.7514        | 4.0   | 716  | 0.6847          | 36.2186 | 27.5662 | 32.6055 | 32.8805   | 10.85   |
| 0.7514        | 5.0   | 895  | 0.6847          | 36.2186 | 27.5662 | 32.6055 | 32.8805   | 10.85   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0