maximo-t5-chat / README.md
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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-chat
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-chat
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: 1.1056
- Rouge1: 59.8095
- Rouge2: 47.0
- Rougel: 59.8095
- Rougelsum: 59.8095
- Gen Len: 14.6
## 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 | 5 | 2.8921 | 15.7143 | 0.0 | 15.7143 | 15.0 | 7.2 |
| No log | 2.0 | 10 | 2.1172 | 19.0 | 0.0 | 19.1905 | 18.5714 | 8.2 |
| No log | 3.0 | 15 | 1.7513 | 33.7143 | 20.0 | 34.0 | 33.3333 | 7.8 |
| No log | 4.0 | 20 | 1.4905 | 46.7143 | 34.0 | 47.0476 | 46.7143 | 12.3 |
| No log | 5.0 | 25 | 1.3527 | 55.5714 | 39.0 | 55.4762 | 54.5714 | 12.9 |
| No log | 6.0 | 30 | 1.3376 | 58.0952 | 39.0 | 58.0952 | 57.4286 | 13.6 |
| No log | 7.0 | 35 | 1.2002 | 58.5714 | 39.0 | 58.5714 | 57.8095 | 13.3 |
| No log | 8.0 | 40 | 1.1349 | 55.0476 | 39.0 | 54.5714 | 54.5714 | 14.3 |
| No log | 9.0 | 45 | 1.1106 | 59.8095 | 47.0 | 59.8095 | 59.8095 | 14.6 |
| No log | 10.0 | 50 | 1.1056 | 59.8095 | 47.0 | 59.8095 | 59.8095 | 14.6 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0