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In adapter_config.json: "peft.base_model_name_or_path" must be a string
model_21
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: 0.6241
- eval_accuracy: 0.7747
- eval_precision: 0.7741
- eval_recall: 0.7747
- eval_f1: 0.7739
- eval_runtime: 41.911
- eval_samples_per_second: 292.167
- eval_steps_per_second: 18.277
- epoch: 9.0
- step: 27558
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 20
- label_smoothing_factor: 0.03
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_21
Base model
distilbert/distilbert-base-uncased