---
base_model: ybelkada/flan-t5-xl-sharded-bf16
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flanT5-xl-3.1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# flanT5-xl-3.1

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: 0.6821
- Rouge1: 32.9118
- Rouge2: 24.7369
- Rougel: 29.6106
- Rougelsum: 29.8854
- Gen Len: 10.9379

## 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: 3e-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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 362  | 4.1919          | 14.9919 | 9.1411  | 12.8299 | 12.9602   | 15.8354 |
| 19.4803       | 2.0   | 724  | 0.8027          | 31.2365 | 23.4015 | 27.8979 | 28.0521   | 10.8913 |
| 0.87          | 3.0   | 1086 | 0.7601          | 32.7524 | 24.7831 | 29.4005 | 29.6329   | 10.4814 |
| 0.87          | 4.0   | 1448 | 0.7359          | 32.4199 | 24.3103 | 29.045  | 29.3107   | 10.7391 |
| 0.7969        | 5.0   | 1810 | 0.7159          | 33.081  | 24.9552 | 29.7936 | 30.0534   | 10.6770 |
| 0.7607        | 6.0   | 2172 | 0.7029          | 32.6081 | 24.4439 | 29.3121 | 29.5849   | 10.8820 |
| 0.7482        | 7.0   | 2534 | 0.6928          | 32.7673 | 24.6101 | 29.5065 | 29.7823   | 10.8820 |
| 0.7482        | 8.0   | 2896 | 0.6865          | 32.648  | 24.3905 | 29.4374 | 29.7019   | 11.0    |
| 0.729         | 9.0   | 3258 | 0.6831          | 32.7058 | 24.4816 | 29.4377 | 29.6886   | 11.0031 |
| 0.7218        | 10.0  | 3620 | 0.6821          | 32.9118 | 24.7369 | 29.6106 | 29.8854   | 10.9379 |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0