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results_t5
mohsin-aslam/results_t5
results_t5 is a machine learning model from mohsin-aslam. 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
- Feb 23, 2024
- Updated
- Feb 23, 2024
- SHA
- a827e7ed
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. -->
results_t5
This model is a fine-tuned version of gaussalgo/T5-LM-Large-text2sql-spider on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0175
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: 0.0005
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3879 | 0.53 | 500 | 0.0261 |
| 0.027 | 1.05 | 1000 | 0.0203 |
| 0.0183 | 1.58 | 1500 | 0.0175 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.2.1+cu121
- Datasets 2.4.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- t5
- Created
- Feb 23, 2024
- Updated
- Feb 23, 2024