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flanT5_base_Task2_Fact_updates_without_time
rishavranaut/flanT5_base_Task2_Fact_updates_without_time
flanT5_base_Task2_Fact_updates_without_time is a machine learning model from rishavranaut. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Aug 6, 2024
- Updated
- Aug 7, 2024
- SHA
- 2d349bfe
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. -->
flanT5_base_Task2_Fact_updates_without_time
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1170
- Accuracy: 0.8688
- Weighted F1: 0.8685
- Micro F1: 0.8688
- Macro F1: 0.8686
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss | Macro F1 | Micro F1 | Weighted F1 |
|---|---|---|---|---|---|---|---|
| 0.5375 | 1.0 | 5793 | 0.8384 | 0.7201 | 0.8379 | 0.8384 | 0.8377 |
| 0.3627 | 2.0 | 11586 | 0.8771 | 0.5442 | 0.8771 | 0.8771 | 0.8771 |
| 0.2226 | 3.0 | 17379 | 0.8646 | 0.8292 | 0.8645 | 0.8646 | 0.8644 |
| 0.2253 | 4.0 | 23172 | 0.8715 | 1.0168 | 0.8714 | 0.8715 | 0.8713 |
| 0.143 | 5.0 | 28965 | 1.1170 | 0.8688 | 0.8685 | 0.8688 | 0.8686 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Type
- t5
- License
- apache-2.0
- Created
- Aug 6, 2024
- Updated
- Aug 7, 2024