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t5-small-finetuned-manimml
BienThuy/t5-small-finetuned-manimml
t5-small-finetuned-manimml is a machine learning model from BienThuy. 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 9, 2024
- Updated
- Apr 11, 2024
- SHA
- 561a4c1b
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: 0.0265
- Rouge1: 26.6541
- Rouge2: 21.4995
- Rougel: 26.6415
- Rougelsum: 26.6456
- 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 | 350 | 0.1263 | 26.5707 | 20.5692 | 26.3449 | 26.3437 | 18.9986 |
| 0.7594 | 2.0 | 700 | 0.0655 | 26.6351 | 21.4219 | 26.6247 | 26.6217 | 19.0 |
| 0.122 | 3.0 | 1050 | 0.0487 | 26.654 | 21.4338 | 26.6451 | 26.6484 | 19.0 |
| 0.122 | 4.0 | 1400 | 0.0393 | 26.6598 | 21.4549 | 26.653 | 26.6554 | 19.0 |
| 0.0796 | 5.0 | 1750 | 0.0343 | 26.6454 | 21.4591 | 26.6392 | 26.637 | 19.0 |
| 0.0627 | 6.0 | 2100 | 0.0312 | 26.6488 | 21.4607 | 26.6402 | 26.6391 | 19.0 |
| 0.0627 | 7.0 | 2450 | 0.0286 | 26.6408 | 21.463 | 26.6335 | 26.6317 | 19.0 |
| 0.0526 | 8.0 | 2800 | 0.0274 | 26.6408 | 21.463 | 26.6335 | 26.6317 | 19.0 |
| 0.0478 | 9.0 | 3150 | 0.0266 | 26.6541 | 21.4995 | 26.6415 | 26.6456 | 19.0 |
| 0.046 | 10.0 | 3500 | 0.0265 | 26.6541 | 21.4995 | 26.6415 | 26.6456 | 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 9, 2024
- Updated
- Apr 11, 2024