metadata
license: mit
tags:
- generated_from_trainer
base_model: facebook/mbart-large-50
model-index:
- name: mBART_try
results: []
mBART_try
This model is a fine-tuned version of facebook/mbart-large-50 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.6571
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.2 | 5 | 5.7742 |
| No log | 0.4 | 10 | 3.1782 |
| No log | 0.6 | 15 | 2.9777 |
| No log | 0.8 | 20 | 2.7592 |
| No log | 1.0 | 25 | 2.6571 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1