End of training

README.md

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+---
+license: mit
+base_model: prajjwal1/bert-tiny
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: INT03
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# INT03
+
+This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0169
+- Accuracy: 1.0
+- F1: 1.0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 0.0   | 50   | 0.6888          | 0.62     | 0.5657 |
+| No log        | 0.01  | 100  | 0.6817          | 0.66     | 0.5965 |
+| No log        | 0.01  | 150  | 0.6004          | 0.86     | 0.8553 |
+| No log        | 0.02  | 200  | 0.4136          | 0.87     | 0.8651 |
+| No log        | 0.02  | 250  | 0.3550          | 0.89     | 0.8889 |
+| No log        | 0.03  | 300  | 0.3241          | 0.89     | 0.8889 |
+| No log        | 0.03  | 350  | 0.3144          | 0.89     | 0.8889 |
+| No log        | 0.04  | 400  | 0.3146          | 0.89     | 0.8889 |
+| No log        | 0.04  | 450  | 0.2985          | 0.89     | 0.8889 |
+| 0.5219        | 0.05  | 500  | 0.2604          | 0.92     | 0.92   |
+| 0.5219        | 0.05  | 550  | 0.2242          | 0.92     | 0.9202 |
+| 0.5219        | 0.06  | 600  | 0.1976          | 0.92     | 0.9197 |
+| 0.5219        | 0.06  | 650  | 0.1800          | 0.93     | 0.9302 |
+| 0.5219        | 0.07  | 700  | 0.1685          | 0.93     | 0.9302 |
+| 0.5219        | 0.07  | 750  | 0.1706          | 0.93     | 0.9303 |
+| 0.5219        | 0.08  | 800  | 0.1532          | 0.93     | 0.9303 |
+| 0.5219        | 0.08  | 850  | 0.1411          | 0.93     | 0.9303 |
+| 0.5219        | 0.09  | 900  | 0.1070          | 0.98     | 0.9799 |
+| 0.5219        | 0.09  | 950  | 0.0970          | 0.96     | 0.9601 |
+| 0.2869        | 0.1   | 1000 | 0.0775          | 0.96     | 0.9601 |
+| 0.2869        | 0.1   | 1050 | 0.0789          | 0.97     | 0.9701 |
+| 0.2869        | 0.11  | 1100 | 0.0546          | 0.98     | 0.98   |
+| 0.2869        | 0.11  | 1150 | 0.0789          | 0.98     | 0.9800 |
+| 0.2869        | 0.12  | 1200 | 0.0425          | 0.99     | 0.9900 |
+| 0.2869        | 0.12  | 1250 | 0.0443          | 0.99     | 0.9900 |
+| 0.2869        | 0.13  | 1300 | 0.0340          | 0.99     | 0.9900 |
+| 0.2869        | 0.13  | 1350 | 0.0649          | 0.97     | 0.9700 |
+| 0.2869        | 0.14  | 1400 | 0.0241          | 1.0      | 1.0    |
+| 0.2869        | 0.14  | 1450 | 0.0215          | 1.0      | 1.0    |
+| 0.1754        | 0.15  | 1500 | 0.0146          | 1.0      | 1.0    |
+| 0.1754        | 0.15  | 1550 | 0.0125          | 1.0      | 1.0    |
+| 0.1754        | 0.16  | 1600 | 0.0122          | 1.0      | 1.0    |
+| 0.1754        | 0.16  | 1650 | 0.0110          | 1.0      | 1.0    |
+| 0.1754        | 0.17  | 1700 | 0.0092          | 1.0      | 1.0    |
+| 0.1754        | 0.17  | 1750 | 0.0117          | 1.0      | 1.0    |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.0
+- Tokenizers 0.15.0

config.json

@@ -8,8 +8,16 @@
   "hidden_act": "gelu",
   "hidden_dropout_prob": 0.1,
   "hidden_size": 128,
+  "id2label": {
+    "0": "Taken",
+    "1": "Not Taken"
+  },
   "initializer_range": 0.02,
   "intermediate_size": 512,
+  "label2id": {
+    "Not Taken": 1,
+    "Taken": 0
+  },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,
   "model_type": "bert",

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