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bert-base-phia-secondhandDescription-100

Text Classification
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bert
Generated from Trainer
text-embeddings-inference
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  1. README.md +75 -0
  2. logs/events.out.tfevents.1719974180.Daniels-MBP.fios-router.home +2 -2
  3. model.safetensors +1 -1
  4. special_tokens_map.json +7 -0
  5. tokenizer.json +0 -0
  6. tokenizer_config.json +55 -0
  7. vocab.txt +0 -0
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-100
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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-100
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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: 2.2191
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+ - Precision: 0.3667
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+ - Recall: 0.4
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+ - Accuracy: 0.4
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+ - F1: 0.3533
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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 | 9 | 2.4869 | 0.0222 | 0.0667 | 0.0667 | 0.0333 |
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+ | No log | 2.0 | 18 | 2.5347 | 0.0833 | 0.1333 | 0.1333 | 0.0933 |
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+ | No log | 3.0 | 27 | 2.3867 | 0.1 | 0.1333 | 0.1333 | 0.1111 |
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+ | No log | 4.0 | 36 | 2.4643 | 0.1302 | 0.2 | 0.2 | 0.1496 |
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+ | No log | 5.0 | 45 | 2.3899 | 0.1711 | 0.2667 | 0.2667 | 0.2025 |
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+ | No log | 6.0 | 54 | 2.3939 | 0.1667 | 0.2667 | 0.2667 | 0.1978 |
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+ | No log | 7.0 | 63 | 2.2753 | 0.3 | 0.3333 | 0.3333 | 0.2867 |
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+ | No log | 8.0 | 72 | 2.2724 | 0.3889 | 0.4 | 0.4 | 0.3667 |
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+ | No log | 9.0 | 81 | 2.2223 | 0.3667 | 0.4 | 0.4 | 0.3533 |
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+ | No log | 10.0 | 90 | 2.2191 | 0.3667 | 0.4 | 0.4 | 0.3533 |
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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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tokenizer.json ADDED
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vocab.txt ADDED
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