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INT03-PC

Text Classification
Transformers
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Safetensors
bert
Generated from Trainer
text-embeddings-inference
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End of training

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  1. README.md +108 -0
  2. config.json +8 -0
  3. model.safetensors +1 -1
  4. runs/Dec24_15-59-38_86f59ffbd25a/events.out.tfevents.1703433579.86f59ffbd25a.1423.34 +2 -2
  5. runs/Dec24_15-59-38_86f59ffbd25a/events.out.tfevents.1703433579.86f59ffbd25a.1423.35 +2 -2
  6. runs/Dec24_15-59-38_86f59ffbd25a/events.out.tfevents.1703433625.86f59ffbd25a.1423.36 +3 -0
  7. runs/Dec24_15-59-38_86f59ffbd25a/events.out.tfevents.1703433625.86f59ffbd25a.1423.37 +3 -0
README.md ADDED
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+ ---
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+ license: mit
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+ base_model: prajjwal1/bert-tiny
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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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+ - f1
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+ model-index:
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+ - name: INT03-PC
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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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+ # INT03-PC
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+
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+ This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0158
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+ - Accuracy: 1.0
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+ - F1: 1.0
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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: 16
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+ - eval_batch_size: 16
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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: 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 | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 0.0 | 50 | 0.6785 | 0.74 | 0.7413 |
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+ | No log | 0.01 | 100 | 0.6047 | 0.79 | 0.7903 |
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+ | No log | 0.01 | 150 | 0.4424 | 0.88 | 0.8769 |
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+ | No log | 0.02 | 200 | 0.3601 | 0.89 | 0.8868 |
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+ | No log | 0.02 | 250 | 0.3436 | 0.89 | 0.8868 |
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+ | No log | 0.03 | 300 | 0.3311 | 0.9 | 0.8975 |
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+ | No log | 0.03 | 350 | 0.3145 | 0.89 | 0.8876 |
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+ | No log | 0.04 | 400 | 0.3113 | 0.9 | 0.8982 |
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+ | No log | 0.04 | 450 | 0.2994 | 0.9 | 0.8982 |
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+ | 0.4886 | 0.05 | 500 | 0.2806 | 0.88 | 0.8785 |
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+ | 0.4886 | 0.05 | 550 | 0.2179 | 0.92 | 0.9194 |
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+ | 0.4886 | 0.06 | 600 | 0.2388 | 0.88 | 0.8803 |
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+ | 0.4886 | 0.06 | 650 | 0.1716 | 0.94 | 0.9398 |
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+ | 0.4886 | 0.07 | 700 | 0.1774 | 0.93 | 0.9302 |
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+ | 0.4886 | 0.07 | 750 | 0.1456 | 0.95 | 0.9501 |
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+ | 0.4886 | 0.08 | 800 | 0.1518 | 0.94 | 0.9402 |
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+ | 0.4886 | 0.08 | 850 | 0.1564 | 0.93 | 0.9303 |
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+ | 0.4886 | 0.09 | 900 | 0.1684 | 0.92 | 0.9204 |
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+ | 0.4886 | 0.09 | 950 | 0.1372 | 0.96 | 0.9602 |
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+ | 0.2446 | 0.1 | 1000 | 0.1368 | 0.94 | 0.9402 |
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+ | 0.2446 | 0.1 | 1050 | 0.1502 | 0.95 | 0.9502 |
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+ | 0.2446 | 0.11 | 1100 | 0.1385 | 0.95 | 0.9502 |
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+ | 0.2446 | 0.11 | 1150 | 0.1297 | 0.96 | 0.9602 |
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+ | 0.2446 | 0.12 | 1200 | 0.1917 | 0.95 | 0.9502 |
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+ | 0.2446 | 0.12 | 1250 | 0.1042 | 0.97 | 0.9700 |
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+ | 0.2446 | 0.13 | 1300 | 0.1502 | 0.96 | 0.9602 |
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+ | 0.2446 | 0.13 | 1350 | 0.1436 | 0.96 | 0.9602 |
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+ | 0.2446 | 0.14 | 1400 | 0.0896 | 0.98 | 0.9800 |
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+ | 0.2446 | 0.14 | 1450 | 0.1045 | 0.96 | 0.9602 |
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+ | 0.1824 | 0.15 | 1500 | 0.1269 | 0.96 | 0.9602 |
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+ | 0.1824 | 0.15 | 1550 | 0.1449 | 0.96 | 0.9602 |
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+ | 0.1824 | 0.16 | 1600 | 0.1311 | 0.96 | 0.9602 |
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+ | 0.1824 | 0.16 | 1650 | 0.1380 | 0.96 | 0.9602 |
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+ | 0.1824 | 0.17 | 1700 | 0.1466 | 0.96 | 0.9602 |
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+ | 0.1824 | 0.17 | 1750 | 0.0861 | 0.98 | 0.9800 |
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+ | 0.1824 | 0.18 | 1800 | 0.1323 | 0.96 | 0.9602 |
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+ | 0.1824 | 0.18 | 1850 | 0.1375 | 0.96 | 0.9602 |
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+ | 0.1824 | 0.19 | 1900 | 0.1719 | 0.96 | 0.9602 |
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+ | 0.1824 | 0.19 | 1950 | 0.0837 | 0.98 | 0.9800 |
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+ | 0.1252 | 0.2 | 2000 | 0.1661 | 0.96 | 0.9602 |
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+ | 0.1252 | 0.2 | 2050 | 0.1129 | 0.96 | 0.9602 |
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+ | 0.1252 | 0.21 | 2100 | 0.0603 | 0.98 | 0.9800 |
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+ | 0.1252 | 0.21 | 2150 | 0.1231 | 0.96 | 0.9602 |
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+ | 0.1252 | 0.22 | 2200 | 0.1363 | 0.96 | 0.9602 |
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+ | 0.1252 | 0.22 | 2250 | 0.1330 | 0.96 | 0.9602 |
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+ | 0.1252 | 0.23 | 2300 | 0.0795 | 0.96 | 0.9602 |
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+ | 0.1252 | 0.23 | 2350 | 0.0856 | 0.96 | 0.9602 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.16.0
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+ - Tokenizers 0.15.0
config.json CHANGED
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  "hidden_act": "gelu",
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  "initializer_range": 0.02,
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  "intermediate_size": 512,
 
 
 
 
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
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  "model_type": "bert",
 
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  "hidden_act": "gelu",
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 128,
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
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  "model_type": "bert",
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