|
--- |
|
base_model: facebook/mbart-large-50-many-to-many-mmt |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- rouge |
|
model-index: |
|
- name: my_new_extractor_model |
|
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. --> |
|
|
|
# my_new_extractor_model |
|
|
|
This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4800 |
|
- Rouge1: 0.0 |
|
- Rouge2: 0.0 |
|
- Rougel: 0.0 |
|
- Rougelsum: 0.0 |
|
- Gen Len: 6.1948 |
|
|
|
## 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: 16 |
|
- eval_batch_size: 16 |
|
- 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 | 39 | 0.4853 | 0.0 | 0.0 | 0.0 | 0.0 | 5.6234 | |
|
| No log | 2.0 | 78 | 0.4473 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0649 | |
|
| No log | 3.0 | 117 | 0.4761 | 0.0 | 0.0 | 0.0 | 0.0 | 5.9351 | |
|
| No log | 4.0 | 156 | 0.4800 | 0.0 | 0.0 | 0.0 | 0.0 | 6.1948 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.2 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.19.2 |
|
- Tokenizers 0.19.1 |
|
|
