| | --- |
| | license: apache-2.0 |
| | base_model: bigscience/mt0-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - rouge |
| | model-index: |
| | - name: mt0-base-headline-base |
| | 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. --> |
| |
|
| | # mt0-base-headline-base |
| |
|
| | This model is a fine-tuned version of [bigscience/mt0-base](https://huggingface.co/bigscience/mt0-base) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.6244 |
| | - Rouge1: 0.0 |
| | - Rouge2: 0.0 |
| | - Rougel: 0.0 |
| | - Rougelsum: 0.0 |
| | - Gen Len: 16.7891 |
| |
|
| | ## 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: 0.0001 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
| | | 1.9733 | 1.0 | 202 | 1.7065 | 0.0 | 0.0 | 0.0 | 0.0 | 16.8759 | |
| | | 1.7562 | 2.0 | 404 | 1.6455 | 0.0 | 0.0 | 0.0 | 0.0 | 16.8834 | |
| | | 1.387 | 3.0 | 606 | 1.6142 | 0.0 | 0.0 | 0.0 | 0.0 | 16.34 | |
| | | 1.584 | 4.0 | 808 | 1.6244 | 0.0 | 0.0 | 0.0 | 0.0 | 16.7891 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.40.2 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.19.1 |
| | - Tokenizers 0.19.1 |
| |
|
