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t5-small-finetuned-manimml-1.1
okeenhas/t5-small-finetuned-manimml-1.1
t5-small-finetuned-manimml-1.1 is a machine learning model from okeenhas. 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
- Jun 19, 2024
- Updated
- Jun 19, 2024
- SHA
- b80357a3
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: 0.0750
- Rouge1: 26.2677
- Rouge2: 21.24
- Rougel: 26.2649
- Rougelsum: 26.2291
- 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 | 1.6688 | 4.48 | 0.3941 | 4.3103 | 4.3263 | 19.0 |
| No log | 2.0 | 100 | 0.8312 | 11.3557 | 2.7306 | 10.6554 | 10.6787 | 18.985 |
| No log | 3.0 | 150 | 0.4371 | 24.1056 | 14.6464 | 23.4038 | 23.3396 | 19.0 |
| No log | 4.0 | 200 | 0.2658 | 26.1867 | 17.1716 | 25.6324 | 25.5875 | 19.0 |
| No log | 5.0 | 250 | 0.1862 | 25.7525 | 18.2023 | 25.3068 | 25.2656 | 19.0 |
| No log | 6.0 | 300 | 0.1429 | 26.1909 | 19.8811 | 26.0053 | 26.0106 | 19.0 |
| No log | 7.0 | 350 | 0.1180 | 26.1977 | 20.6534 | 26.1067 | 26.0828 | 19.0 |
| No log | 8.0 | 400 | 0.1055 | 26.0723 | 21.0154 | 26.0943 | 26.0582 | 19.0 |
| No log | 9.0 | 450 | 0.0934 | 26.2485 | 21.1998 | 26.2506 | 26.2173 | 19.0 |
| 0.8503 | 10.0 | 500 | 0.0863 | 26.2677 | 21.24 | 26.2649 | 26.2291 | 19.0 |
| 0.8503 | 11.0 | 550 | 0.0819 | 26.2677 | 21.24 | 26.2649 | 26.2291 | 19.0 |
| 0.8503 | 12.0 | 600 | 0.0795 | 26.2677 | 21.24 | 26.2649 | 26.2291 | 19.0 |
| 0.8503 | 13.0 | 650 | 0.0768 | 26.2677 | 21.24 | 26.2649 | 26.2291 | 19.0 |
| 0.8503 | 14.0 | 700 | 0.0755 | 26.2677 | 21.24 | 26.2649 | 26.2291 | 19.0 |
| 0.8503 | 15.0 | 750 | 0.0750 | 26.2677 | 21.24 | 26.2649 | 26.2291 | 19.0 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jun 19, 2024
- Updated
- Jun 19, 2024