File size: 2,226 Bytes
9ea7d76 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 |
---
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-finetuned-amazon-en-es
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-finetuned-amazon-en-es
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: 12.4719
- Rouge1: 1.0
- Rouge2: 0.0
- Rougel: 1.0
- Rougelsum: 1.0
## 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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 8
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 27.4393 | 1.0 | 5 | 17.2134 | 0.0 | 0.0 | 0.0 | 0.0 |
| 22.9155 | 2.0 | 10 | 15.0992 | 0.0 | 0.0 | 0.0 | 0.0 |
| 22.9137 | 3.0 | 15 | 13.7802 | 0.0 | 0.0 | 0.0 | 0.0 |
| 18.6699 | 4.0 | 20 | 13.0336 | 0.0 | 0.0 | 0.0 | 0.0 |
| 21.7441 | 5.0 | 25 | 12.8728 | 1.0 | 0.0 | 1.0 | 1.0 |
| 18.8252 | 6.0 | 30 | 12.6478 | 1.0 | 0.0 | 1.0 | 1.0 |
| 18.3021 | 7.0 | 35 | 12.5059 | 1.0 | 0.0 | 1.0 | 1.0 |
| 18.9792 | 8.0 | 40 | 12.4719 | 1.0 | 0.0 | 1.0 | 1.0 |
### Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Tokenizers 0.20.3
|