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t5-small-trivia-gpu-ca2q
tilyupo/t5-small-trivia-gpu-ca2q
t5-small-trivia-gpu-ca2q is a machine learning model from tilyupo. 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.
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
- Aug 6, 2023
- Updated
- Aug 7, 2023
- SHA
- 3064deb1
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
t5-small-trivia-gpu-ca2q
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.2675
- Validation Loss: 1.3898
- Epoch: 3
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:
- optimizer: {'name': 'Adafactor', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.00014285714, 'beta_2_decay': -0.8, 'epsilon_1': 1e-30, 'epsilon_2': 0.001, 'clip_threshold': 1.0, 'relative_step': False}
- training_precision: mixed_bfloat16
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 1.7429 | 1.4649 | 0 |
| 1.4976 | 1.4196 | 1 |
| 1.3663 | 1.3913 | 2 |
| 1.2675 | 1.3898 | 3 |
Framework versions
- Transformers 4.31.0
- TensorFlow 2.13.0
- Datasets 2.14.3
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Aug 6, 2023
- Updated
- Aug 7, 2023