|
--- |
|
library_name: transformers |
|
license: mit |
|
base_model: facebook/m2m100_418M |
|
tags: |
|
- translation |
|
- generated_from_trainer |
|
model-index: |
|
- name: m2m100_418M-hi-en_new |
|
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. --> |
|
|
|
# m2m100_418M-hi-en_new |
|
|
|
This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.8994 |
|
|
|
## 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: 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: 5 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:-----:|:---------------:| |
|
| 1.0884 | 1.0 | 5215 | 1.0170 | |
|
| 0.8419 | 2.0 | 10430 | 0.9381 | |
|
| 0.6706 | 3.0 | 15645 | 0.9036 | |
|
| 0.5366 | 4.0 | 20860 | 0.9006 | |
|
| 0.4602 | 5.0 | 26075 | 0.8994 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.44.2 |
|
- Pytorch 2.5.0+cu121 |
|
- Datasets 3.1.0 |
|
- Tokenizers 0.19.1 |
|
|
