|
--- |
|
base_model: facebook/mbart-large-50-many-to-many-mmt |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: mbart-large-50-many-to-many-mmt-finetuned-human-to-assistant |
|
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-many-to-many-mmt-finetuned-human-to-assistant |
|
|
|
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: 0.5715 |
|
|
|
## 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: 3e-05 |
|
- train_batch_size: 4 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| No log | 1.0 | 18 | 0.6943 | |
|
| No log | 2.0 | 36 | 0.6172 | |
|
| No log | 3.0 | 54 | 0.5725 | |
|
| No log | 4.0 | 72 | 0.5771 | |
|
| No log | 5.0 | 90 | 0.5727 | |
|
| No log | 6.0 | 108 | 0.5631 | |
|
| No log | 7.0 | 126 | 0.5628 | |
|
| No log | 8.0 | 144 | 0.5676 | |
|
| No log | 9.0 | 162 | 0.5703 | |
|
| No log | 10.0 | 180 | 0.5715 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.42.4 |
|
- Pytorch 2.3.1+cu121 |
|
- Datasets 2.20.0 |
|
- Tokenizers 0.19.1 |
|
|
