|
---
|
|
license: mit
|
|
base_model: alirezamsh/small100
|
|
tags:
|
|
- generated_from_trainer
|
|
metrics:
|
|
- bleu
|
|
model-index:
|
|
- name: model_small100-finetuned
|
|
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. -->
|
|
|
|
# model_small100-finetuned
|
|
|
|
This model is a fine-tuned version of [alirezamsh/small100](https://huggingface.co/alirezamsh/small100) on an unknown dataset.
|
|
It achieves the following results on the evaluation set:
|
|
- Loss: 0.9770
|
|
- Bleu: 41.7687
|
|
|
|
## 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: 32
|
|
- eval_batch_size: 64
|
|
- seed: 42
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
|
- lr_scheduler_type: linear
|
|
- num_epochs: 3
|
|
- mixed_precision_training: Native AMP
|
|
|
|
### Training results
|
|
|
|
|
|
|
|
### Framework versions
|
|
|
|
- Transformers 4.39.3
|
|
- Pytorch 2.2.2
|
|
- Datasets 2.19.0
|
|
- Tokenizers 0.15.2
|
|
|
