tensorboard safetensors generated_from_trainer base_model:ybelkada/flan-t5-xl-sharded-bf16 region:us
---
base_model: ybelkada/flan-t5-xl-sharded-bf16
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-xl-gen2
  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-gen2

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: 0.7134
- Rouge1: 32.8362
- Rouge2: 24.6174
- Rougel: 29.4825
- Rougelsum: 29.8057
- Gen Len: 10.8602

## 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  | 16.9256         | 19.0988 | 13.2345 | 16.7051 | 16.8227   | 14.5155 |
| 21.9637       | 2.0   | 724  | 0.9058          | 25.6321 | 19.4333 | 22.9915 | 23.0319   | 12.2298 |
| 1.1153        | 3.0   | 1086 | 0.8224          | 33.772  | 27.2536 | 30.9184 | 30.9024   | 9.3851  |
| 1.1153        | 4.0   | 1448 | 0.7790          | 31.8945 | 24.0796 | 28.6922 | 28.9082   | 10.7081 |
| 0.8196        | 5.0   | 1810 | 0.7526          | 32.0479 | 23.9638 | 28.7508 | 28.9928   | 10.9565 |
| 0.768         | 6.0   | 2172 | 0.7372          | 32.4934 | 24.2711 | 29.1369 | 29.4352   | 10.9130 |
| 0.7461        | 7.0   | 2534 | 0.7262          | 33.7013 | 25.5198 | 30.3086 | 30.6278   | 10.4938 |
| 0.7461        | 8.0   | 2896 | 0.7187          | 33.2769 | 25.0711 | 29.8857 | 30.1898   | 10.6925 |
| 0.7247        | 9.0   | 3258 | 0.7143          | 32.9304 | 24.7808 | 29.6111 | 29.9039   | 10.8075 |
| 0.7282        | 10.0  | 3620 | 0.7134          | 32.8362 | 24.6174 | 29.4825 | 29.8057   | 10.8602 |


### Framework versions

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