license: mit | |
base_model: facebook/m2m100_418M | |
tags: | |
- generated_from_trainer | |
model-index: | |
- name: fine_tuned_models16Nov | |
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. --> | |
# fine_tuned_models16Nov | |
This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on an unknown dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 0.1078 | |
## 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: 8 | |
- eval_batch_size: 8 | |
- seed: 42 | |
- gradient_accumulation_steps: 8 | |
- total_train_batch_size: 64 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- training_steps: 1080 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | | |
|:-------------:|:-----:|:----:|:---------------:| | |
| 0.4929 | 36.7 | 500 | 0.1096 | | |
| 0.0228 | 73.39 | 1000 | 0.1050 | | |
### Framework versions | |
- Transformers 4.35.2 | |
- Pytorch 2.1.0+cu118 | |
- Tokenizers 0.15.0 | |