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my_awesome_wmt16_model
tarang1213/my_awesome_wmt16_model
my_awesome_wmt16_model is a machine learning model from tarang1213. 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
- Mar 25, 2024
- Updated
- Mar 29, 2024
- SHA
- 5e7bc9c7
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. -->
my_awesome_wmt16_model
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0034
- Bleu: 0.1317
- Gen Len: 16.9235
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.333 | 1.0 | 2344 | 2.0869 | 0.121 | 16.9318 |
| 2.2099 | 2.0 | 4688 | 2.0398 | 0.1265 | 16.9175 |
| 2.15 | 3.0 | 7032 | 2.0172 | 0.1298 | 16.9193 |
| 2.131 | 4.0 | 9376 | 2.0067 | 0.131 | 16.9451 |
| 2.1164 | 5.0 | 11720 | 2.0034 | 0.1317 | 16.9235 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Mar 25, 2024
- Updated
- Mar 29, 2024