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Simple_Translation-model-for-GPT-v3
Dhahlan2000/Simple_Translation-model-for-GPT-v3
Simple_Translation-model-for-GPT-v3 is a machine learning model from Dhahlan2000. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- May 27, 2024
- Updated
- May 27, 2024
- SHA
- afb748af
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. -->
Simple_Translation-model-for-GPT-v3
This model is a fine-tuned version of Dhahlan2000/Simple_Translation-model-for-GPT-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4882
- Bleu: 30.5908
- Gen Len: 15.3476
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.7494 | 1.0 | 4571 | 0.5369 | 28.6585 | 15.3298 |
| 0.6735 | 2.0 | 9142 | 0.4882 | 30.5908 | 15.3476 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- transformers
- Type
- t5
- Created
- May 27, 2024
- Updated
- May 27, 2024