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---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: maximo-t5-normalize
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. -->
# maximo-t5-normalize
This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9638
- Rouge1: 38.9057
- Rouge2: 19.0476
- Rougel: 39.5803
- Rougelsum: 39.467
- Gen Len: 15.2857
## 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log | 1.0 | 8 | 2.2357 | 17.3817 | 0.0 | 17.3817 | 17.8983 | 10.5714 |
| No log | 2.0 | 16 | 2.1585 | 23.8431 | 14.2857 | 23.5882 | 24.101 | 13.2857 |
| No log | 3.0 | 24 | 1.9795 | 33.3557 | 22.3971 | 34.1438 | 33.9448 | 11.7143 |
| No log | 4.0 | 32 | 1.8823 | 29.3267 | 15.2381 | 28.5832 | 30.4088 | 13.5714 |
| No log | 5.0 | 40 | 1.8984 | 40.4849 | 14.2857 | 40.3257 | 40.1475 | 15.8571 |
| No log | 6.0 | 48 | 1.9456 | 32.562 | 19.0476 | 33.3501 | 33.7775 | 16.1429 |
| No log | 7.0 | 56 | 1.9990 | 35.1207 | 19.0476 | 35.8838 | 36.2473 | 17.0 |
| No log | 8.0 | 64 | 1.9615 | 38.9057 | 19.0476 | 39.5803 | 39.467 | 15.2857 |
| No log | 9.0 | 72 | 1.9613 | 38.9057 | 19.0476 | 39.5803 | 39.467 | 15.2857 |
| No log | 10.0 | 80 | 1.9638 | 38.9057 | 19.0476 | 39.5803 | 39.467 | 15.2857 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
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