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DialogLED-base-16384-dialogsum-finetuned-10epochs
StDestiny/DialogLED-base-16384-dialogsum-finetuned-10epochs
DialogLED-base-16384-dialogsum-finetuned-10epochs is a machine learning model from StDestiny. 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
- led
- Access
- Public
- Created
- Apr 14, 2024
- Updated
- Apr 14, 2024
- SHA
- c73e4c88
Base models
Datasets
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. -->
DialogLED-base-16384-dialogsum-finetuned-10epochs
This model is a fine-tuned version of MingZhong/DialogLED-base-16384 on the dialogsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.3006
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1611 | 2.57 | 500 | 1.2166 |
| 0.769 | 5.14 | 1000 | 1.2457 |
| 0.6162 | 7.7 | 1500 | 1.3006 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- led
- Created
- Apr 14, 2024
- Updated
- Apr 14, 2024