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---
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-semantic
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-semantic
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.5169
- Rouge1: 0.1333
- Rouge2: 0.0
- Rougel: 0.1333
- Rougelsum: 0.1333
## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| No log | 1.0 | 1 | 13.3180 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 2.0 | 2 | 10.2648 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 3.0 | 3 | 14.4358 | 0.2222 | 0.125 | 0.2222 | 0.2222 |
| No log | 4.0 | 4 | 12.2551 | 0.2222 | 0.125 | 0.2222 | 0.2222 |
| No log | 5.0 | 5 | 8.3587 | 0.2222 | 0.125 | 0.2222 | 0.2222 |
| No log | 6.0 | 6 | 9.0556 | 0.2222 | 0.125 | 0.2222 | 0.2222 |
| No log | 7.0 | 7 | 9.8159 | 0.25 | 0.1429 | 0.25 | 0.25 |
| No log | 8.0 | 8 | 8.7513 | 0.1333 | 0.0 | 0.1333 | 0.1333 |
| No log | 9.0 | 9 | 9.2218 | 0.2 | 0.0 | 0.2 | 0.2 |
| No log | 10.0 | 10 | 8.9089 | 0.1333 | 0.0 | 0.1333 | 0.1333 |
| No log | 11.0 | 11 | 10.3286 | 0.1667 | 0.0 | 0.1667 | 0.1667 |
| No log | 12.0 | 12 | 9.6879 | 0.1667 | 0.0 | 0.1667 | 0.1667 |
| No log | 13.0 | 13 | 8.9536 | 0.1333 | 0.0 | 0.1333 | 0.1333 |
| No log | 14.0 | 14 | 8.3151 | 0.1333 | 0.0 | 0.1333 | 0.1333 |
| No log | 15.0 | 15 | 7.2542 | 0.1333 | 0.0 | 0.1333 | 0.1333 |
| No log | 16.0 | 16 | 7.4371 | 0.1333 | 0.0 | 0.1333 | 0.1333 |
| No log | 17.0 | 17 | 7.8925 | 0.1333 | 0.0 | 0.1333 | 0.1333 |
| No log | 18.0 | 18 | 7.5644 | 0.1333 | 0.0 | 0.1333 | 0.1333 |
| No log | 19.0 | 19 | 8.1827 | 0.1333 | 0.0 | 0.1333 | 0.1333 |
| No log | 20.0 | 20 | 6.8002 | 0.1333 | 0.0 | 0.1333 | 0.1333 |
| No log | 21.0 | 21 | 7.1925 | 0.1333 | 0.0 | 0.1333 | 0.1333 |
| No log | 22.0 | 22 | 7.9999 | 0.1333 | 0.0 | 0.1333 | 0.1333 |
| No log | 23.0 | 23 | 7.4629 | 0.1333 | 0.0 | 0.1333 | 0.1333 |
| No log | 24.0 | 24 | 8.1180 | 0.1333 | 0.0 | 0.1333 | 0.1333 |
| No log | 25.0 | 25 | 7.0687 | 0.1333 | 0.0 | 0.1333 | 0.1333 |
| No log | 26.0 | 26 | 8.3404 | 0.1333 | 0.0 | 0.1333 | 0.1333 |
| No log | 27.0 | 27 | 6.2122 | 0.1333 | 0.0 | 0.1333 | 0.1333 |
| No log | 28.0 | 28 | 5.5703 | 0.1333 | 0.0 | 0.1333 | 0.1333 |
| No log | 29.0 | 29 | 5.5613 | 0.1333 | 0.0 | 0.1333 | 0.1333 |
| No log | 30.0 | 30 | 5.5169 | 0.1333 | 0.0 | 0.1333 | 0.1333 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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