metadata
license: mit
base_model: alirezamsh/small100
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: model_small100-finetuned
results: []
model_small100-finetuned
This model is a fine-tuned version of 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