---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: flan-t5-base-extraction-cnndm_2000-all-hint_precision-ep50
  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-t5-base-extraction-cnndm_2000-all-hint_precision-ep50

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8409
- Hint Hit Num: 2.3443
- Hint Precision: 0.4272
- Num: 5.472
- Gen Len: 18.9975

## 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: 60
- eval_batch_size: 400
- seed: 1799
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Hint Hit Num | Hint Precision | Num    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------------:|:--------------:|:------:|:-------:|
| 2.2521        | 5.88  | 200  | 1.8616          | 2.2495       | 0.4197         | 5.3613 | 18.9832 |
| 1.9538        | 11.76 | 400  | 1.8307          | 2.2661       | 0.4202         | 5.3879 | 18.996  |
| 1.8538        | 17.65 | 600  | 1.8238          | 2.3191       | 0.4251         | 5.446  | 18.9979 |
| 1.7799        | 23.53 | 800  | 1.8277          | 2.3338       | 0.4259         | 5.4634 | 18.9975 |
| 1.7242        | 29.41 | 1000 | 1.8360          | 2.3131       | 0.4243         | 5.4378 | 18.9982 |
| 1.6819        | 35.29 | 1200 | 1.8409          | 2.3443       | 0.4272         | 5.472  | 18.9975 |
| 1.6535        | 41.18 | 1400 | 1.8451          | 2.3363       | 0.4257         | 5.4672 | 18.9976 |
| 1.6397        | 47.06 | 1600 | 1.8472          | 2.3414       | 0.4257         | 5.4776 | 18.9982 |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1