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test
Uzair54/test
test is a machine learning model from Uzair54. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- May 11, 2024
- Updated
- May 11, 2024
- SHA
- 416565b0
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. -->
test
This model is a fine-tuned version of Uzair54/test on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0057
- Gen Len: 19.0
- P: 0.6886
- R: 0.0017
- F1: 0.3237
- Bleu-score: 6.6728
- Bleu-precisions: [94.95319495319495, 94.52054794520548, 94.00676655389077, 93.38666666666667]
- Bleu-bp: 0.0708
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Gen Len | P | R | F1 | Bleu-score | Bleu-precisions | Bleu-bp |
|---|---|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 25 | 0.0251 | 19.0 | 0.6885 | 0.0017 | 0.3237 | 6.6728 | [94.95319495319495, 94.52054794520548, 94.00676655389077, 93.38666666666667] | 0.0708 |
| No log | 2.0 | 50 | 0.0466 | 19.0 | 0.6885 | 0.0017 | 0.3237 | 6.6728 | [94.95319495319495, 94.52054794520548, 94.00676655389077, 93.38666666666667] | 0.0708 |
| No log | 3.0 | 75 | 0.0277 | 19.0 | 0.6889 | 0.0016 | 0.3238 | 6.6660 | [94.99185667752442, 94.56233421750663, 94.05222437137331, 93.43649946638207] | 0.0707 |
| No log | 4.0 | 100 | 0.0188 | 19.0 | 0.6885 | 0.0017 | 0.3237 | 6.6728 | [94.95319495319495, 94.52054794520548, 94.00676655389077, 93.38666666666667] | 0.0708 |
| No log | 5.0 | 125 | 0.0164 | 19.0 | 0.6886 | 0.0017 | 0.3237 | 6.6728 | [94.95319495319495, 94.52054794520548, 94.00676655389077, 93.38666666666667] | 0.0708 |
| No log | 6.0 | 150 | 0.0150 | 19.0 | 0.6886 | 0.0017 | 0.3237 | 6.6728 | [94.95319495319495, 94.52054794520548, 94.00676655389077, 93.38666666666667] | 0.0708 |
| No log | 7.0 | 175 | 0.0140 | 19.0 | 0.6886 | 0.0017 | 0.3237 | 6.6728 | [94.95319495319495, 94.52054794520548, 94.00676655389077, 93.38666666666667] | 0.0708 |
| No log | 8.0 | 200 | 0.0128 | 19.0 | 0.6886 | 0.0017 | 0.3237 | 6.6728 | [94.95319495319495, 94.52054794520548, 94.00676655389077, 93.38666666666667] | 0.0708 |
| No log | 9.0 | 225 | 0.0110 | 19.0 | 0.6886 | 0.0017 | 0.3237 | 6.6728 | [94.95319495319495, 94.52054794520548, 94.00676655389077, 93.38666666666667] | 0.0708 |
| No log | 10.0 | 250 | 0.0111 | 19.0 | 0.6886 | 0.0017 | 0.3237 | 6.6728 | [94.95319495319495, 94.52054794520548, 94.00676655389077, 93.38666666666667] | 0.0708 |
| No log | 11.0 | 275 | 0.0095 | 19.0 | 0.6886 | 0.0017 | 0.3237 | 6.6728 | [94.95319495319495, 94.52054794520548, 94.00676655389077, 93.38666666666667] | 0.0708 |
| No log | 12.0 | 300 | 0.0086 | 19.0 | 0.6886 | 0.0017 | 0.3237 | 6.6728 | [94.95319495319495, 94.52054794520548, 94.00676655389077, 93.38666666666667] | 0.0708 |
| No log | 13.0 | 325 | 0.0081 | 19.0 | 0.6886 | 0.0017 | 0.3237 | 6.6728 | [94.95319495319495, 94.52054794520548, 94.00676655389077, 93.38666666666667] | 0.0708 |
| No log | 14.0 | 350 | 0.0074 | 19.0 | 0.6886 | 0.0017 | 0.3237 | 6.6728 | [94.95319495319495, 94.52054794520548, 94.00676655389077, 93.38666666666667] | 0.0708 |
| No log | 15.0 | 375 | 0.0070 | 19.0 | 0.6886 | 0.0017 | 0.3237 | 6.6728 | [94.95319495319495, 94.52054794520548, 94.00676655389077, 93.38666666666667] | 0.0708 |
| No log | 16.0 | 400 | 0.0066 | 19.0 | 0.6886 | 0.0017 | 0.3237 | 6.6728 | [94.95319495319495, 94.52054794520548, 94.00676655389077, 93.38666666666667] | 0.0708 |
| No log | 17.0 | 425 | 0.0062 | 19.0 | 0.6886 | 0.0017 | 0.3237 | 6.6728 | [94.95319495319495, 94.52054794520548, 94.00676655389077, 93.38666666666667] | 0.0708 |
| No log | 18.0 | 450 | 0.0059 | 19.0 | 0.6886 | 0.0017 | 0.3237 | 6.6728 | [94.95319495319495, 94.52054794520548, 94.00676655389077, 93.38666666666667] | 0.0708 |
| No log | 19.0 | 475 | 0.0058 | 19.0 | 0.6886 | 0.0017 | 0.3237 | 6.6728 | [94.95319495319495, 94.52054794520548, 94.00676655389077, 93.38666666666667] | 0.0708 |
| 0.0237 | 20.0 | 500 | 0.0057 | 19.0 | 0.6886 | 0.0017 | 0.3237 | 6.6728 | [94.95319495319495, 94.52054794520548, 94.00676655389077, 93.38666666666667] | 0.0708 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- t5
- Created
- May 11, 2024
- Updated
- May 11, 2024