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nmt_T5_10k_tr_en
basakdemirok/nmt_T5_10k_tr_en
nmt_T5_10k_tr_en is a machine learning model from basakdemirok. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Jun 3, 2024
- Updated
- Jun 3, 2024
- SHA
- dee3f381
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. -->
nmt_T5_tr_en_v0
This model is a fine-tuned version of google-t5/t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.1426
- Bleu: 2.3489
- Gen Len: 16.9877
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: 4
- eval_batch_size: 4
- 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
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.8413 | 1.0 | 25000 | 3.2492 | 2.0144 | 16.9707 |
| 2.6397 | 2.0 | 50000 | 3.1695 | 2.27 | 16.9501 |
| 2.6047 | 3.0 | 75000 | 3.1426 | 2.3489 | 16.9877 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu118
- Datasets 2.4.0
- Tokenizers 0.19.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jun 3, 2024
- Updated
- Jun 3, 2024