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End of training

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  2. adapter_model.safetensors +1 -1
README.md ADDED
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+ ---
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+ library_name: peft
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+ license: apache-2.0
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+ base_model: bert-base-uncased
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+ tags:
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+ - base_model:adapter:bert-base-uncased
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+ - lora
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+ - transformers
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+ model-index:
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+ - name: bert-from-single-text-file
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # bert-from-single-text-file
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+
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.7947
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 1
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 2.9659 | 0.1050 | 200 | 2.9105 |
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+ | 2.8784 | 0.2100 | 400 | 2.8161 |
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+ | 2.83 | 0.3150 | 600 | 2.8043 |
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+ | 2.8066 | 0.4199 | 800 | 2.8001 |
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+ | 2.8438 | 0.5249 | 1000 | 2.7993 |
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+ | 2.8466 | 0.6299 | 1200 | 2.7969 |
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+ | 2.7455 | 0.7349 | 1400 | 2.7961 |
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+ | 2.8339 | 0.8399 | 1600 | 2.7949 |
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+ | 2.7977 | 0.9449 | 1800 | 2.7947 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.17.0
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+ - Transformers 4.55.1
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 4.0.0
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+ - Tokenizers 0.21.4
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