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---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: reviews_sum
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. -->
# reviews_sum
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: 2.8535
- Rouge1: 0.0273
- Rouge2: 0.0
- Rougel: 0.0277
- Rougelsum: 0.0274
- 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: 0.001
- 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log | 1.0 | 395 | 3.4194 | 0.0339 | 0.0 | 0.0338 | 0.0338 | 19.0 |
| 4.9137 | 2.0 | 790 | 3.0496 | 0.0339 | 0.0 | 0.0338 | 0.0338 | 19.0 |
| 3.1919 | 3.0 | 1185 | 2.9381 | 0.0339 | 0.0 | 0.0338 | 0.0338 | 19.0 |
| 2.8961 | 4.0 | 1580 | 2.8875 | 0.0339 | 0.0 | 0.0338 | 0.0338 | 19.0 |
| 2.8961 | 5.0 | 1975 | 2.8487 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 |
| 2.72 | 6.0 | 2370 | 2.8328 | 0.0339 | 0.0 | 0.0338 | 0.0338 | 19.0 |
| 2.5695 | 7.0 | 2765 | 2.8332 | 0.0273 | 0.0 | 0.0277 | 0.0274 | 19.0 |
| 2.4644 | 8.0 | 3160 | 2.8412 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 |
| 2.3847 | 9.0 | 3555 | 2.8358 | 0.0339 | 0.0 | 0.0338 | 0.0338 | 19.0 |
| 2.3847 | 10.0 | 3950 | 2.8535 | 0.0273 | 0.0 | 0.0277 | 0.0274 | 19.0 |
### Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1
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