metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: reviews_sum
results: []
reviews_sum
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0170
- Rouge1: 0.0504
- Rouge2: 0.0084
- Rougel: 0.0504
- Rougelsum: 0.0509
- Gen Len: 18.9926
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 395 | 2.3024 | 0.0302 | 0.009 | 0.03 | 0.0297 | 19.0 |
| 3.3394 | 2.0 | 790 | 2.1111 | 0.0527 | 0.008 | 0.0515 | 0.0517 | 19.0 |
| 2.2973 | 3.0 | 1185 | 2.0537 | 0.0455 | 0.0058 | 0.0455 | 0.0452 | 19.0 |
| 2.0317 | 4.0 | 1580 | 2.0170 | 0.0504 | 0.0084 | 0.0504 | 0.0509 | 18.9926 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1