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---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-dataset3
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. -->
# mt5-small-dataset3
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4341
- Rouge1: 0.5489
- Rouge2: 0.2033
- Rougel: 0.5208
- Rougelsum: 0.5212
## 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: 5.6e-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: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 4.1512 | 1.0 | 500 | 2.0642 | 0.503 | 0.172 | 0.4893 | 0.4899 |
| 2.1206 | 2.0 | 1000 | 1.7535 | 0.5288 | 0.1861 | 0.5137 | 0.5143 |
| 1.8841 | 3.0 | 1500 | 1.6171 | 0.5293 | 0.1798 | 0.5069 | 0.5072 |
| 1.7527 | 4.0 | 2000 | 1.5333 | 0.5335 | 0.1837 | 0.5069 | 0.507 |
| 1.6573 | 5.0 | 2500 | 1.4857 | 0.5444 | 0.1941 | 0.5165 | 0.5163 |
| 1.6073 | 6.0 | 3000 | 1.4628 | 0.5405 | 0.197 | 0.5133 | 0.5136 |
| 1.5703 | 7.0 | 3500 | 1.4368 | 0.5519 | 0.2097 | 0.5267 | 0.5271 |
| 1.5415 | 8.0 | 4000 | 1.4341 | 0.5489 | 0.2033 | 0.5208 | 0.5212 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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