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distillbert-IMDB-lora
asm3515/distillbert-IMDB-lora
distillbert-IMDB-lora is a machine learning model from asm3515. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Nov 13, 2024
- Updated
- Nov 13, 2024
- SHA
- 8656c259
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. -->
results_lora_qkv
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2232
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: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2749 | 1.0 | 1563 | 0.2534 |
| 0.2559 | 2.0 | 3126 | 0.2371 |
| 0.24 | 3.0 | 4689 | 0.2254 |
| 0.2259 | 4.0 | 6252 | 0.2256 |
| 0.2357 | 5.0 | 7815 | 0.2232 |
Framework versions
- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
- Library
- peft
- License
- apache-2.0
- Created
- Nov 13, 2024
- Updated
- Nov 13, 2024