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---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-sport
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-sport
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2444
- Rouge1: 22.6291
- Rouge2: 9.9519
- Rougel: 18.0362
- Rougelsum: 19.4768
- Gen Len: 19.0
## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.3085 | 1.0 | 2897 | 1.6680 | 21.9624 | 8.3028 | 16.8626 | 18.4892 | 19.0 |
| 1.9601 | 2.0 | 5794 | 1.5129 | 22.355 | 8.0976 | 17.1001 | 18.4518 | 19.0 |
| 1.8149 | 3.0 | 8691 | 1.4461 | 21.7553 | 8.2693 | 16.8813 | 18.1753 | 19.0 |
| 1.6939 | 4.0 | 11588 | 1.3859 | 22.1485 | 8.5444 | 17.1957 | 18.5641 | 19.0 |
| 1.6661 | 5.0 | 14485 | 1.3600 | 22.1464 | 8.5701 | 17.1911 | 18.5834 | 19.0 |
| 1.5776 | 6.0 | 17382 | 1.3366 | 22.188 | 8.6102 | 17.2114 | 18.6171 | 19.0 |
| 1.5635 | 7.0 | 20279 | 1.3036 | 22.2216 | 8.8053 | 17.3255 | 18.7127 | 19.0 |
| 1.5286 | 8.0 | 23176 | 1.2969 | 22.6098 | 9.4618 | 17.7417 | 19.2344 | 19.0 |
| 1.5034 | 9.0 | 26073 | 1.2774 | 22.7211 | 9.8323 | 17.9709 | 19.456 | 19.0 |
| 1.4808 | 10.0 | 28970 | 1.2697 | 22.6057 | 9.778 | 17.9176 | 19.3593 | 19.0 |
| 1.468 | 11.0 | 31867 | 1.2612 | 22.6437 | 9.8167 | 17.9253 | 19.3505 | 19.0 |
| 1.458 | 12.0 | 34764 | 1.2527 | 22.744 | 10.0172 | 18.0459 | 19.5324 | 19.0 |
| 1.4494 | 13.0 | 37661 | 1.2491 | 22.687 | 9.9128 | 17.9941 | 19.4752 | 19.0 |
| 1.4286 | 14.0 | 40558 | 1.2490 | 22.6855 | 9.9731 | 18.0414 | 19.5128 | 19.0 |
| 1.4448 | 15.0 | 43455 | 1.2436 | 22.6476 | 9.9704 | 18.0385 | 19.498 | 19.0 |
| 1.4324 | 16.0 | 46352 | 1.2444 | 22.6291 | 9.9519 | 18.0362 | 19.4768 | 19.0 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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