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End of training

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README.md ADDED
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+ ---
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+ library_name: transformers
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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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+ - accuracy
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+ model-index:
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+ - name: '584_32_1'
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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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+ # 584_32_1
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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: 1.3309
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+ - Accuracy: 0.7104
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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: 1e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 64
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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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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 20
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 121 | 1.4221 | 0.25 |
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+ | No log | 2.0 | 242 | 1.3270 | 0.4208 |
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+ | No log | 3.0 | 363 | 0.9673 | 0.6125 |
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+ | No log | 4.0 | 484 | 0.8277 | 0.6687 |
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+ | 1.2322 | 5.0 | 605 | 0.7791 | 0.6979 |
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+ | 1.2322 | 6.0 | 726 | 0.8398 | 0.6896 |
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+ | 1.2322 | 7.0 | 847 | 0.7810 | 0.7 |
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+ | 1.2322 | 8.0 | 968 | 0.8186 | 0.7125 |
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+ | 0.5026 | 9.0 | 1089 | 0.9361 | 0.7104 |
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+ | 0.5026 | 10.0 | 1210 | 0.9895 | 0.7104 |
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+ | 0.5026 | 11.0 | 1331 | 1.0266 | 0.6958 |
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+ | 0.5026 | 12.0 | 1452 | 1.1067 | 0.7146 |
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+ | 0.1724 | 13.0 | 1573 | 1.0984 | 0.7104 |
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+ | 0.1724 | 14.0 | 1694 | 1.1876 | 0.7063 |
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+ | 0.1724 | 15.0 | 1815 | 1.2408 | 0.7021 |
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+ | 0.1724 | 16.0 | 1936 | 1.2624 | 0.6979 |
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+ | 0.074 | 17.0 | 2057 | 1.2954 | 0.7104 |
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+ | 0.074 | 18.0 | 2178 | 1.2911 | 0.7104 |
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+ | 0.074 | 19.0 | 2299 | 1.3218 | 0.7104 |
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+ | 0.074 | 20.0 | 2420 | 1.3309 | 0.7104 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 3.0.1
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+ - Tokenizers 0.19.1
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