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mbart-large-50_customconfig
Amala3/mbart-large-50_customconfig
mbart-large-50_customconfig is a machine learning model from Amala3. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- mbart
- Access
- Public
- Created
- Sep 13, 2024
- Updated
- Sep 20, 2024
- SHA
- 3da47565
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. -->
models
This model is a fine-tuned version of facebook/mbart-large-50 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0060
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: 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4786 | 0.0699 | 500 | 0.0108 |
| 0.0542 | 0.1398 | 1000 | 0.0094 |
| 0.01 | 0.2097 | 1500 | 0.0086 |
| 0.0095 | 0.2796 | 2000 | 0.0080 |
| 0.0082 | 0.3495 | 2500 | 0.0076 |
| 0.0078 | 0.4193 | 3000 | 0.0075 |
| 0.0081 | 0.4892 | 3500 | 0.0074 |
| 0.0083 | 0.5591 | 4000 | 0.0071 |
| 0.0071 | 0.6290 | 4500 | 0.0070 |
| 0.0074 | 0.6989 | 5000 | 0.0069 |
| 0.0075 | 0.7688 | 5500 | 0.0067 |
| 0.0073 | 0.8387 | 6000 | 0.0066 |
| 0.007 | 0.9086 | 6500 | 0.0065 |
| 0.0075 | 0.9785 | 7000 | 0.0064 |
| 0.006 | 1.0484 | 7500 | 0.0063 |
| 0.0181 | 1.1183 | 8000 | 0.0077 |
| 0.0066 | 1.1881 | 8500 | 0.0064 |
| 0.0067 | 1.2580 | 9000 | 0.0107 |
| 0.0087 | 1.3279 | 9500 | 0.0091 |
| 0.0065 | 1.3978 | 10000 | 0.0062 |
| 0.0054 | 1.4677 | 10500 | 0.0061 |
| 0.0055 | 1.5376 | 11000 | 0.0061 |
| 0.0053 | 1.6075 | 11500 | 0.0060 |
| 0.0052 | 1.6774 | 12000 | 0.0060 |
| 0.0051 | 1.7473 | 12500 | 0.0060 |
| 0.0051 | 1.8172 | 13000 | 0.0060 |
| 0.0063 | 1.8871 | 13500 | 0.0063 |
| 0.0054 | 1.9569 | 14000 | 0.0060 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1
- Type
- mbart
- License
- mit
- Created
- Sep 13, 2024
- Updated
- Sep 20, 2024