|
--- |
|
license: mit |
|
base_model: october-sd/mbart-large-50-finetuned-latest3 |
|
tags: |
|
- summarization |
|
- generated_from_trainer |
|
model-index: |
|
- name: mbart-large-50-finetuned-8 |
|
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. --> |
|
|
|
# mbart-large-50-finetuned-8 |
|
|
|
This model is a fine-tuned version of [october-sd/mbart-large-50-finetuned-latest3](https://huggingface.co/october-sd/mbart-large-50-finetuned-latest3) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.4685 |
|
|
|
## 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: 1e-05 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 16 |
|
- total_train_batch_size: 64 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 4 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| No log | 1.0 | 183 | 2.4781 | |
|
| No log | 2.0 | 367 | 2.4710 | |
|
| No log | 3.0 | 550 | 2.4703 | |
|
| No log | 3.99 | 732 | 2.4685 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.39.3 |
|
- Pytorch 2.1.2 |
|
- Datasets 2.15.0 |
|
- Tokenizers 0.15.2 |
|
|