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: 1.1177
- Rouge1: 52.381
- Rouge2: 46.1905
- Rougel: 52.381
- Rougelsum: 52.381
- Gen Len: 14.5
## 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 | 7 | 1.0968 | 34.5238 | 28.8889 | 34.5238 | 34.5238 | 12.0 |
| No log | 2.0 | 14 | 1.1620 | 40.2778 | 30.5556 | 40.2778 | 40.2778 | 12.0 |
| No log | 3.0 | 21 | 1.1408 | 53.5714 | 47.7778 | 53.5714 | 53.869 | 15.3333 |
| No log | 4.0 | 28 | 1.1966 | 43.4524 | 34.4444 | 43.4524 | 43.4524 | 14.3333 |
| No log | 5.0 | 35 | 1.2071 | 47.619 | 34.4444 | 48.2143 | 48.2143 | 15.3333 |
| No log | 6.0 | 42 | 1.1328 | 37.3016 | 32.8571 | 37.3016 | 37.3016 | 14.3333 |
| No log | 7.0 | 49 | 1.0874 | 37.3016 | 32.8571 | 37.3016 | 37.3016 | 14.3333 |
| No log | 8.0 | 56 | 1.0944 | 52.381 | 46.1905 | 52.381 | 52.381 | 13.6667 |
| No log | 9.0 | 63 | 1.1165 | 52.381 | 46.1905 | 52.381 | 52.381 | 13.6667 |
| No log | 10.0 | 70 | 1.1177 | 52.381 | 46.1905 | 52.381 | 52.381 | 14.5 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0