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t5_recommendation_jobs
mostafa0841/t5_recommendation_jobs
t5_recommendation_jobs is a machine learning model from mostafa0841. 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 9, 2024
- Updated
- Mar 9, 2024
- SHA
- cc044363
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_recommendation_jobs
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5136
- Rouge1: 61.4539
- Rouge2: 35.8407
- Rougel: 61.0072
- Rougelsum: 61.0251
- Gen Len: 4.0796
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: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 0.97 | 8 | 0.4263 | 59.6302 | 33.5251 | 59.0023 | 59.1277 | 4.0973 |
| No log | 1.94 | 16 | 0.4339 | 59.1603 | 34.6165 | 58.6462 | 58.6462 | 4.0796 |
| No log | 2.91 | 24 | 0.4536 | 58.6452 | 35.4130 | 58.0788 | 58.0080 | 4.1593 |
| No log | 4.0 | 33 | 0.4584 | 59.7040 | 35.4130 | 59.3226 | 59.1646 | 4.0531 |
| No log | 4.97 | 41 | 0.4627 | 61.6962 | 38.1121 | 61.3938 | 61.2684 | 4.0531 |
| No log | 5.94 | 49 | 0.4677 | 61.3496 | 36.9027 | 60.8776 | 60.8175 | 4.0 |
| No log | 6.91 | 57 | 0.4716 | 60.6511 | 35.8997 | 59.9610 | 59.9758 | 4.0885 |
| No log | 8.0 | 66 | 0.4925 | 60.4003 | 34.9558 | 60.0000 | 59.9779 | 4.0177 |
| No log | 8.97 | 74 | 0.4905 | 57.9340 | 32.9499 | 57.5432 | 57.6117 | 4.0265 |
| No log | 9.94 | 82 | 0.4951 | 60.5120 | 35.7965 | 59.7777 | 59.9842 | 4.1062 |
| No log | 10.91 | 90 | 0.5053 | 61.3885 | 37.2566 | 60.9166 | 61.0862 | 4.0973 |
| No log | 12.0 | 99 | 0.5131 | 61.1473 | 35.6637 | 60.3666 | 60.4867 | 4.1593 |
| No log | 12.97 | 107 | 0.5180 | 59.8736 | 33.5398 | 59.2225 | 59.2162 | 4.1062 |
| No log | 13.94 | 115 | 0.5224 | 61.8163 | 36.6667 | 61.3812 | 61.4138 | 4.0708 |
| No log | 14.55 | 120 | 0.5136 | 61.4539 | 35.8407 | 61.0072 | 61.0251 | 4.0796 |
Framework versions
- Transformers 4.27.0
- Pytorch 2.1.2
- Datasets 2.8.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Mar 9, 2024
- Updated
- Mar 9, 2024