Downloads · 30 days
8
18% of all-time downloads
distilbert-base-uncased-finetuned-imdb_LORA_DataCollatorForLanguageModeling
gokhanErgul/distilbert-base-uncased-finetuned-imdb_LORA_DataCollatorForLanguageModeling
distilbert-base-uncased-finetuned-imdb_LORA_DataCollatorForLanguageModeling is a machine learning model from gokhanErgul. 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. --
All-time downloads
45
Public
Repo size
2.4 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.2 MB · 55%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jan 3, 2026
- Updated
- Jan 3, 2026
- SHA
- a920fb33
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. -->
distilbert-base-uncased-finetuned-imdb_LORA_DataCollatorForLanguageModeling
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: 2.4132
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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.5978 | 1.0 | 120 | 2.4334 |
| 2.5657 | 2.0 | 240 | 2.4173 |
| 2.5409 | 3.0 | 360 | 2.4132 |
Framework versions
- PEFT 0.17.1
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.4.1
- Tokenizers 0.22.1
- Library
- peft
- License
- apache-2.0
- Created
- Jan 3, 2026
- Updated
- Jan 3, 2026