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In adapter_config.json: "peft.base_model_name_or_path" must be a string
model_20
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.6104
- eval_accuracy: 0.7640
- eval_precision: 0.7657
- eval_recall: 0.7640
- eval_f1: 0.7640
- eval_runtime: 30.8346
- eval_samples_per_second: 397.118
- eval_steps_per_second: 12.421
- epoch: 12.0
- step: 18372
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 20
Framework versions
- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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Model tree for kajamo/model_20
Base model
distilbert/distilbert-base-uncased