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model_small100-finetuned
Miguelcj1/model_small100-finetuned
model_small100-finetuned is a machine learning model from Miguelcj1. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- m2m_100
- Access
- Public
- Created
- May 19, 2024
- Updated
- May 19, 2024
- SHA
- 5cb28384
Base models
Model card
From the Hugging Face model README
<!-- 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 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
- Library
- transformers
- Type
- m2m_100
- License
- mit
- Created
- May 19, 2024
- Updated
- May 19, 2024