metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mt5-small-query_realestate_cars-finetuned
results: []
mt5-small-query_realestate_cars-finetuned
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2111
- Rouge1: 51.6261
- Rouge2: 40.1355
- Rougel: 51.6277
- Rougelsum: 51.6154
- Gen Len: 8.9971
- Valid Json: 0.0085
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: 0.0002
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Valid Json |
|---|---|---|---|---|---|---|---|---|---|
| 0.4256 | 1.0 | 12204 | 0.2693 | 50.0289 | 38.3453 | 50.0269 | 50.027 | 8.9965 | 0.0061 |
| 0.3171 | 2.0 | 24408 | 0.2338 | 50.1782 | 38.5868 | 50.1546 | 50.1534 | 8.9985 | 0.0053 |
| 0.2364 | 3.0 | 36612 | 0.2200 | 51.1478 | 39.5229 | 51.1357 | 51.1351 | 8.9978 | 0.0068 |
| 0.1869 | 4.0 | 48816 | 0.2130 | 51.603 | 39.91 | 51.5963 | 51.5877 | 8.9974 | 0.0088 |
| 0.2221 | 5.0 | 61020 | 0.2111 | 51.6261 | 40.1355 | 51.6277 | 51.6154 | 8.9971 | 0.0085 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.8.0
- Tokenizers 0.12.1