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---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: morbius
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. -->
# morbius
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: nan
- Rouge1: 2.1823
- Rouge2: 0.226
- Rougel: 2.1188
- Rougelsum: 2.1216
- Gen Len: 8.9152
## 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: 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: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.0 | 1.0 | 7626 | nan | 2.1823 | 0.226 | 2.1188 | 2.1216 | 8.9152 |
| 0.0 | 2.0 | 15252 | nan | 2.1823 | 0.226 | 2.1188 | 2.1216 | 8.9152 |
| 0.0 | 3.0 | 22878 | nan | 2.1823 | 0.226 | 2.1188 | 2.1216 | 8.9152 |
| 0.0 | 4.0 | 30504 | nan | 2.1823 | 0.226 | 2.1188 | 2.1216 | 8.9152 |
| 0.0 | 5.0 | 38130 | nan | 2.1823 | 0.226 | 2.1188 | 2.1216 | 8.9152 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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