transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:google/flan-t5-base license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-gsm8k_model
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# flan-t5-base-gsm8k_model

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8620
- Rouge1: 0.2697
- Rouge2: 0.1356
- Rougel: 0.2253
- Rougelsum: 0.2422

## 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: 0.0005
- 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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 1.1948        | 1.0   | 654  | 0.9260          | 0.2684 | 0.1280 | 0.2208 | 0.2394    |
| 0.9443        | 2.0   | 1308 | 0.8731          | 0.2686 | 0.1332 | 0.2242 | 0.2419    |
| 0.8297        | 3.0   | 1962 | 0.8620          | 0.2697 | 0.1356 | 0.2253 | 0.2422    |
| 0.6273        | 4.0   | 2616 | 0.8873          | 0.2732 | 0.1404 | 0.2289 | 0.2461    |
| 0.558         | 5.0   | 3270 | 0.8902          | 0.2736 | 0.1426 | 0.2300 | 0.2464    |
| 0.499         | 6.0   | 3924 | 0.9316          | 0.2750 | 0.1424 | 0.2305 | 0.2479    |
| 0.4007        | 7.0   | 4578 | 0.9573          | 0.2777 | 0.1437 | 0.2322 | 0.2489    |
| 0.353         | 8.0   | 5232 | 1.0082          | 0.2743 | 0.1431 | 0.2308 | 0.2478    |
| 0.3235        | 9.0   | 5886 | 1.0506          | 0.2761 | 0.1463 | 0.2332 | 0.2499    |
| 0.2644        | 10.0  | 6540 | 1.1053          | 0.2780 | 0.1465 | 0.2338 | 0.2509    |
| 0.2325        | 11.0  | 7194 | 1.1463          | 0.2785 | 0.1478 | 0.2345 | 0.2513    |
| 0.2171        | 12.0  | 7848 | 1.2101          | 0.2784 | 0.1492 | 0.2344 | 0.2518    |
| 0.1852        | 13.0  | 8502 | 1.2566          | 0.2784 | 0.1470 | 0.2336 | 0.2506    |
| 0.1692        | 14.0  | 9156 | 1.3192          | 0.2777 | 0.1463 | 0.2325 | 0.2498    |
| 0.1602        | 15.0  | 9810 | 1.3562          | 0.2787 | 0.1473 | 0.2333 | 0.2507    |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
