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t5-small-finetuned-manimml-1.1
ChuTuanDuc/t5-small-finetuned-manimml-1.1
t5-small-finetuned-manimml-1.1 is a machine learning model from ChuTuanDuc. 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
- Mar 19, 2024
- Updated
- Mar 26, 2024
- SHA
- 4326515c
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-1.1
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0772
- Rouge1: 25.0809
- Rouge2: 20.1537
- Rougel: 25.0511
- Rougelsum: 25.0911
- 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: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 50 | 1.6513 | 4.2595 | 0.1282 | 4.2499 | 4.255 | 19.0 |
| No log | 2.0 | 100 | 0.8717 | 11.947 | 3.1006 | 11.2274 | 11.2252 | 18.995 |
| No log | 3.0 | 150 | 0.4567 | 21.3474 | 12.5277 | 20.8281 | 20.8201 | 19.0 |
| No log | 4.0 | 200 | 0.2659 | 25.0988 | 16.7518 | 24.4598 | 24.4885 | 19.0 |
| No log | 5.0 | 250 | 0.1867 | 24.3902 | 18.443 | 24.242 | 24.2454 | 19.0 |
| No log | 6.0 | 300 | 0.1454 | 24.8391 | 19.5217 | 24.7319 | 24.7821 | 19.0 |
| No log | 7.0 | 350 | 0.1200 | 24.9475 | 19.8678 | 24.8689 | 24.9086 | 19.0 |
| No log | 8.0 | 400 | 0.1052 | 25.013 | 20.0186 | 24.9396 | 24.9937 | 19.0 |
| No log | 9.0 | 450 | 0.0955 | 25.0173 | 20.0748 | 24.9448 | 24.9979 | 19.0 |
| 0.8585 | 10.0 | 500 | 0.0893 | 25.0809 | 20.1537 | 25.0511 | 25.0911 | 19.0 |
| 0.8585 | 11.0 | 550 | 0.0844 | 25.0809 | 20.1537 | 25.0511 | 25.0911 | 19.0 |
| 0.8585 | 12.0 | 600 | 0.0820 | 25.0809 | 20.1537 | 25.0511 | 25.0911 | 19.0 |
| 0.8585 | 13.0 | 650 | 0.0786 | 25.0809 | 20.1537 | 25.0511 | 25.0911 | 19.0 |
| 0.8585 | 14.0 | 700 | 0.0774 | 25.0809 | 20.1537 | 25.0511 | 25.0911 | 19.0 |
| 0.8585 | 15.0 | 750 | 0.0772 | 25.0809 | 20.1537 | 25.0511 | 25.0911 | 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
- Mar 19, 2024
- Updated
- Mar 26, 2024