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t5-small-finetuned-manimml
Quanda2369/t5-small-finetuned-manimml
t5-small-finetuned-manimml is a machine learning model from Quanda2369. 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 12, 2024
- Updated
- Apr 12, 2024
- SHA
- 1f7bf24c
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. -->
t5-small-finetuned-manimml
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1364
- Rouge1: 26.0604
- Rouge2: 19.9761
- Rougel: 25.9003
- Rougelsum: 25.9723
- Gen Len: 19.0
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 50 | 1.7080 | 4.4713 | 0.3984 | 4.3577 | 4.3315 | 19.0 |
| No log | 2.0 | 100 | 0.9122 | 9.4373 | 1.9479 | 8.8784 | 8.85 | 19.0 |
| No log | 3.0 | 150 | 0.4992 | 20.791 | 11.5065 | 20.1233 | 20.033 | 19.0 |
| No log | 4.0 | 200 | 0.3168 | 26.5087 | 16.3231 | 25.5779 | 25.5911 | 19.0 |
| No log | 5.0 | 250 | 0.2367 | 25.782 | 17.2565 | 25.2582 | 25.2519 | 19.0 |
| No log | 6.0 | 300 | 0.1876 | 25.8775 | 18.2261 | 25.4038 | 25.4187 | 19.0 |
| No log | 7.0 | 350 | 0.1612 | 25.4884 | 18.3963 | 25.1829 | 25.2095 | 18.995 |
| No log | 8.0 | 400 | 0.1474 | 26.1811 | 19.6167 | 25.8602 | 25.9093 | 19.0 |
| No log | 9.0 | 450 | 0.1393 | 25.9726 | 19.8381 | 25.7971 | 25.8603 | 19.0 |
| 0.9353 | 10.0 | 500 | 0.1364 | 26.0604 | 19.9761 | 25.9003 | 25.9723 | 19.0 |
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
- Apr 12, 2024
- Updated
- Apr 12, 2024