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plbart-base-finetuned-src_fm_fc_ms_ff-to-testALL
Minata/plbart-base-finetuned-src_fm_fc_ms_ff-to-testALL
plbart-base-finetuned-src_fm_fc_ms_ff-to-testALL is a machine learning model from Minata. 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
- plbart
- Access
- Public
- Created
- Feb 20, 2023
- Updated
- Feb 20, 2023
- SHA
- c00cc0b2
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. -->
plbart-base-finetuned-src_fm_fc_ms_ff-to-testALL
This model is a fine-tuned version of uclanlp/plbart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2658
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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3258 | 1.0 | 8813 | 0.2658 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
- Library
- transformers
- Type
- plbart
- Created
- Feb 20, 2023
- Updated
- Feb 20, 2023