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---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flant5-base
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. -->
# flant5-base
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: 0.2172
- Rouge1: 40.5681
- Rouge2: 19.3464
- Rougel: 35.9679
- Rougelsum: 37.6605
- Gen Len: 19.97
## 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: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 9
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.293 | 1.0 | 1384 | 0.2280 | 38.7963 | 16.8581 | 33.5577 | 35.6059 | 19.96 |
| 0.2515 | 2.0 | 2769 | 0.2203 | 38.8289 | 16.9039 | 33.5277 | 35.3638 | 19.982 |
| 0.2347 | 3.0 | 4154 | 0.2155 | 39.8194 | 18.4008 | 34.6872 | 36.6037 | 19.968 |
| 0.223 | 4.0 | 5538 | 0.2148 | 40.1964 | 18.4087 | 34.9626 | 36.8748 | 19.96 |
| 0.2135 | 5.0 | 6923 | 0.2149 | 40.5411 | 19.0474 | 35.5895 | 37.4265 | 19.962 |
| 0.2056 | 6.0 | 8308 | 0.2146 | 40.3302 | 19.1785 | 35.6352 | 37.4875 | 19.962 |
| 0.1999 | 7.0 | 9692 | 0.2147 | 40.0187 | 19.143 | 35.3324 | 37.1204 | 19.958 |
| 0.1948 | 8.0 | 11077 | 0.2159 | 40.1846 | 19.1643 | 35.7202 | 37.4115 | 19.966 |
| 0.1915 | 9.0 | 12462 | 0.2169 | 40.7785 | 19.5846 | 36.1499 | 37.9102 | 19.96 |
| 0.1888 | 10.0 | 13840 | 0.2172 | 40.5681 | 19.3464 | 35.9679 | 37.6605 | 19.97 |
### Framework versions
- Transformers 4.36.1
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.15.2
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