File size: 2,277 Bytes
09572df 1b185a4 09572df 1b185a4 09572df |
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 73 |
---
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: 3.0303
- Rouge1: 16.6072
- Rouge2: 7.5336
- Rougel: 16.1402
- Rougelsum: 16.1129
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
| 6.9675 | 1.0 | 1209 | 3.2986 | 15.3583 | 6.7842 | 14.8665 | 14.8268 |
| 3.8997 | 2.0 | 2418 | 3.1665 | 16.4507 | 7.5059 | 15.7996 | 15.861 |
| 3.5826 | 3.0 | 3627 | 3.1106 | 17.1966 | 8.2927 | 16.6054 | 16.4505 |
| 3.421 | 4.0 | 4836 | 3.0963 | 17.3181 | 8.7401 | 16.8773 | 16.8044 |
| 3.3089 | 5.0 | 6045 | 3.0490 | 16.7047 | 7.5184 | 16.2967 | 16.1796 |
| 3.2437 | 6.0 | 7254 | 3.0401 | 16.6837 | 7.8027 | 16.0671 | 16.0037 |
| 3.2133 | 7.0 | 8463 | 3.0292 | 16.3691 | 7.5515 | 16.012 | 15.9647 |
| 3.1851 | 8.0 | 9672 | 3.0303 | 16.6072 | 7.5336 | 16.1402 | 16.1129 |
### Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
|