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fine_tuned_modelsFinal
shandung/fine_tuned_modelsFinal
fine_tuned_modelsFinal is a machine learning model from shandung. 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
- Nov 16, 2023
- Updated
- Nov 17, 2023
- SHA
- 1784a2fd
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. -->
fine_tuned_modelsFinal
This model is a fine-tuned version of facebook/m2m100_418M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1247
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: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1728
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0174 | 18.35 | 500 | 0.1169 |
| 0.0081 | 36.7 | 1000 | 0.1207 |
| 0.0044 | 55.05 | 1500 | 0.1162 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Tokenizers 0.15.0
- Library
- transformers
- Type
- m2m_100
- License
- mit
- Created
- Nov 16, 2023
- Updated
- Nov 17, 2023