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End of training

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README.md ADDED
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+ ---
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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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+ - generated_from_trainer
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+ metrics:
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+ - precision
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+ - recall
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+ - accuracy
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+ - f1
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+ model-index:
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+ - name: bert-base-phia-secondhandDescription-1000
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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-base-phia-secondhandDescription-1000
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9318
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+ - Precision: 0.8414
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+ - Recall: 0.8311
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+ - Accuracy: 0.8311
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+ - F1: 0.8306
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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: 5e-05
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+ - train_batch_size: 10
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+ - eval_batch_size: 10
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Accuracy | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:------:|
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+ | No log | 1.0 | 84 | 1.4608 | 0.7781 | 0.6824 | 0.6824 | 0.6766 |
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+ | No log | 2.0 | 168 | 0.7149 | 0.8298 | 0.8176 | 0.8176 | 0.8185 |
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+ | 1.4174 | 3.0 | 252 | 0.6704 | 0.8229 | 0.8041 | 0.8041 | 0.8036 |
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+ | 1.4174 | 4.0 | 336 | 0.8298 | 0.8359 | 0.7973 | 0.7973 | 0.7974 |
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+ | 0.2952 | 5.0 | 420 | 0.7800 | 0.8525 | 0.8311 | 0.8311 | 0.8305 |
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+ | 0.2952 | 6.0 | 504 | 0.8365 | 0.8464 | 0.8311 | 0.8311 | 0.8312 |
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+ | 0.2952 | 7.0 | 588 | 0.9032 | 0.8309 | 0.8176 | 0.8176 | 0.8184 |
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+ | 0.0537 | 8.0 | 672 | 0.8952 | 0.8337 | 0.8243 | 0.8243 | 0.8237 |
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+ | 0.0537 | 9.0 | 756 | 0.9206 | 0.8414 | 0.8311 | 0.8311 | 0.8306 |
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+ | 0.0243 | 10.0 | 840 | 0.9318 | 0.8414 | 0.8311 | 0.8311 | 0.8306 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.3
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+ - Pytorch 2.3.1
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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vocab.txt ADDED
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