---
license: apache-2.0
base_model: google/flan-t5-large
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-large-mawpnli-calcx-pt
  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-large-mawpnli-calcx-pt

This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1463
- Rouge1: 95.656
- Rouge2: 88.9634
- Rougel: 95.5287
- Rougelsum: 95.5315
- Gen Len: 12.6808

## 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: 5e-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
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 426  | 0.1577          | 94.7455 | 86.4792 | 94.3396 | 94.3571   | 12.5962 |
| 0.2457        | 2.0   | 852  | 0.1341          | 95.3972 | 88.4764 | 95.1413 | 95.1511   | 12.7207 |
| 0.0797        | 3.0   | 1278 | 0.1313          | 95.4361 | 88.078  | 95.221  | 95.2056   | 12.5692 |
| 0.0573        | 4.0   | 1704 | 0.1483          | 95.3949 | 88.188  | 95.1917 | 95.2055   | 12.5974 |
| 0.0404        | 5.0   | 2130 | 0.1463          | 95.656  | 88.9634 | 95.5287 | 95.5315   | 12.6808 |


### Framework versions

- Transformers 4.35.2
- Pytorch 1.12.1+cu113
- Datasets 2.15.0
- Tokenizers 0.15.0