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peft-dialogue-summary-training-1725686937
NakshatraAich/peft-dialogue-summary-training-1725686937
peft-dialogue-summary-training-1725686937 is a machine learning model from NakshatraAich. 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 peft. 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
- peft
- License
- mit
- Access
- Public
- Created
- Sep 7, 2024
- Updated
- Sep 7, 2024
- SHA
- 7b152c65
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. -->
peft-dialogue-summary-training-1725686937
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9554
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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.605 | 0.0078 | 25 | 1.0042 |
| 0.5464 | 0.0155 | 50 | 1.1322 |
| 1.2482 | 0.0233 | 75 | 0.9708 |
| 0.5344 | 0.0311 | 100 | 0.9554 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Library
- peft
- License
- mit
- Created
- Sep 7, 2024
- Updated
- Sep 7, 2024