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finetune
binhduong2310/finetune
finetune is a machine learning model from binhduong2310. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- bart
- Access
- Public
- Created
- Oct 24, 2022
- Updated
- Oct 25, 2022
- SHA
- 4114ead5
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. -->
finetune
This model is a fine-tuned version of hoabinh/finetune on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7561
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.3381 | 0.29 | 200 | 0.7756 |
| 0.4382 | 0.59 | 400 | 0.8077 |
| 0.3142 | 0.88 | 600 | 0.7561 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
- Library
- transformers
- Type
- bart
- License
- mit
- Created
- Oct 24, 2022
- Updated
- Oct 25, 2022