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MM05-PC

Text Classification
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  1. README.md +86 -0
  2. config.json +8 -0
  3. runs/Dec24_11-32-54_077bfa0ad732/events.out.tfevents.1703417577.077bfa0ad732.209.63 +2 -2
  4. runs/Dec24_11-32-54_077bfa0ad732/events.out.tfevents.1703417577.077bfa0ad732.209.64 +2 -2
  5. runs/Dec24_11-32-54_077bfa0ad732/events.out.tfevents.1703417623.077bfa0ad732.209.65 +3 -0
  6. runs/Dec24_11-32-54_077bfa0ad732/events.out.tfevents.1703417623.077bfa0ad732.209.66 +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: MM05-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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+ # MM05-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: 0.3358
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+ - Accuracy: 0.99
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+ - F1: 0.9950
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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: 4e-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: 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 | Accuracy | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 0.0 | 50 | 0.6889 | 0.58 | 0.4258 |
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+ | No log | 0.01 | 100 | 0.6984 | 0.42 | 0.2485 |
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+ | No log | 0.01 | 150 | 0.6948 | 0.42 | 0.2485 |
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+ | No log | 0.02 | 200 | 0.6867 | 0.58 | 0.4258 |
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+ | No log | 0.02 | 250 | 0.6859 | 0.75 | 0.7192 |
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+ | No log | 0.02 | 300 | 0.6674 | 0.67 | 0.6705 |
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+ | No log | 0.03 | 350 | 0.6093 | 0.65 | 0.6514 |
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+ | No log | 0.03 | 400 | 0.5726 | 0.71 | 0.7118 |
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+ | No log | 0.04 | 450 | 0.5586 | 0.73 | 0.7311 |
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+ | 0.6576 | 0.04 | 500 | 0.5368 | 0.67 | 0.6680 |
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+ | 0.6576 | 0.04 | 550 | 0.5532 | 0.73 | 0.7311 |
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+ | 0.6576 | 0.05 | 600 | 0.5290 | 0.73 | 0.7311 |
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+ | 0.6576 | 0.05 | 650 | 0.5073 | 0.73 | 0.7311 |
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+ | 0.6576 | 0.06 | 700 | 0.4731 | 0.76 | 0.7489 |
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+ | 0.6576 | 0.06 | 750 | 0.4519 | 0.81 | 0.7956 |
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+ | 0.6576 | 0.06 | 800 | 0.4411 | 0.81 | 0.7956 |
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+ | 0.6576 | 0.07 | 850 | 0.4401 | 0.81 | 0.7956 |
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+ | 0.6576 | 0.07 | 900 | 0.4382 | 0.81 | 0.7956 |
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+ | 0.6576 | 0.08 | 950 | 0.4351 | 0.81 | 0.7956 |
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+ | 0.4885 | 0.08 | 1000 | 0.4348 | 0.81 | 0.7956 |
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+ | 0.4885 | 0.08 | 1050 | 0.4289 | 0.81 | 0.7956 |
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+ | 0.4885 | 0.09 | 1100 | 0.4130 | 0.81 | 0.7956 |
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+ | 0.4885 | 0.09 | 1150 | 0.4087 | 0.81 | 0.7956 |
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+ | 0.4885 | 0.1 | 1200 | 0.4165 | 0.81 | 0.7956 |
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+ | 0.4885 | 0.1 | 1250 | 0.4088 | 0.81 | 0.7956 |
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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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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 128,
 
 
 
 
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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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+ "id2label": {
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+ "0": "Taken",
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+ "1": "Not Taken"
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  "initializer_range": 0.02,
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  "intermediate_size": 512,
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+ "label2id": {
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+ "Not Taken": 1,
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+ "Taken": 0
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+ },
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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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