| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - rouge |
| | model-index: |
| | - name: random_top100 |
| | 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. --> |
| |
|
| | # random_top100 |
| | |
| | This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 4.6990 |
| | - Rouge1: 0.1626 |
| | - Rouge2: 0.0339 |
| | - Rougel: 0.1405 |
| | - Rougelsum: 0.1404 |
| | - 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: 2e-05 |
| | - train_batch_size: 1 |
| | - eval_batch_size: 1 |
| | - 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 | 58 | 17.5159 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | |
| | | No log | 2.0 | 116 | 14.6617 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | |
| | | No log | 3.0 | 174 | 9.7296 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | |
| | | No log | 4.0 | 232 | 9.4582 | 0.0605 | 0.0114 | 0.0585 | 0.059 | 9.0 | |
| | | No log | 5.0 | 290 | 7.3911 | 0.1321 | 0.0136 | 0.1223 | 0.1221 | 19.0 | |
| | | No log | 6.0 | 348 | 6.0032 | 0.1542 | 0.0349 | 0.1313 | 0.1312 | 19.0 | |
| | | No log | 7.0 | 406 | 5.0453 | 0.1542 | 0.0349 | 0.1313 | 0.1312 | 19.0 | |
| | | No log | 8.0 | 464 | 4.8066 | 0.1626 | 0.0339 | 0.1405 | 0.1404 | 19.0 | |
| | | 11.9321 | 9.0 | 522 | 4.7140 | 0.1626 | 0.0339 | 0.1405 | 0.1404 | 19.0 | |
| | | 11.9321 | 10.0 | 580 | 4.6990 | 0.1626 | 0.0339 | 0.1405 | 0.1404 | 19.0 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.28.0 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.12.0 |
| | - Tokenizers 0.13.3 |
| | |
