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results
VIN-IT/results
results is a machine learning model from VIN-IT. 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 22, 2024
- Updated
- Apr 22, 2024
- SHA
- e8e93261
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. -->
results
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2907
- Rouge1: 0.4527
- Rouge2: 0.3281
- Rougel: 0.4353
- Rougelsum: 0.4353
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: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 2 | 2.5861 | 0.1012 | 0.0357 | 0.1012 | 0.1012 |
| No log | 2.0 | 4 | 2.4501 | 0.2033 | 0.125 | 0.2033 | 0.2033 |
| No log | 3.0 | 6 | 2.3942 | 0.3133 | 0.2348 | 0.2475 | 0.2475 |
| No log | 4.0 | 8 | 2.3593 | 0.3133 | 0.2348 | 0.2475 | 0.2475 |
| No log | 5.0 | 10 | 2.3353 | 0.2095 | 0.1384 | 0.1960 | 0.1960 |
| No log | 6.0 | 12 | 2.3181 | 0.4082 | 0.3309 | 0.3947 | 0.3947 |
| No log | 7.0 | 14 | 2.3055 | 0.4082 | 0.3309 | 0.3947 | 0.3947 |
| No log | 8.0 | 16 | 2.2976 | 0.4427 | 0.3309 | 0.4129 | 0.4120 |
| No log | 9.0 | 18 | 2.2927 | 0.4527 | 0.3281 | 0.4353 | 0.4353 |
| No log | 10.0 | 20 | 2.2907 | 0.4527 | 0.3281 | 0.4353 | 0.4353 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Apr 22, 2024
- Updated
- Apr 22, 2024