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T5small_Finetune_onDialogueDataset
jinunyachhyon/T5small_Finetune_onDialogueDataset
T5small_Finetune_onDialogueDataset is a machine learning model from jinunyachhyon. 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
- Apr 8, 2024
- Updated
- Apr 9, 2024
- SHA
- 095ea79c
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. -->
T5small_Finetune_onDialogueDataset
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1031
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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1334 | 1.0 | 1839 | 0.1087 |
| 0.1248 | 2.0 | 3678 | 0.1050 |
| 0.1199 | 3.0 | 5517 | 0.1035 |
| 0.1194 | 4.0 | 7356 | 0.1031 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Tokenizers 0.15.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 8, 2024
- Updated
- Apr 9, 2024