End of training

README.md

@@ -0,0 +1,74 @@
+---
+license: mit
+base_model: prajjwal1/bert-tiny
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: BP-test1
+  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. -->
+
+# BP-test1
+
+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: 0.2385
+- Accuracy: 0.93
+
+## 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: 2e-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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 0.01  | 50   | 0.6925          | 0.45     |
+| No log        | 0.02  | 100  | 0.6758          | 0.62     |
+| No log        | 0.03  | 150  | 0.6384          | 0.66     |
+| No log        | 0.04  | 200  | 0.6241          | 0.66     |
+| No log        | 0.05  | 250  | 0.6081          | 0.66     |
+| No log        | 0.06  | 300  | 0.5643          | 0.87     |
+| No log        | 0.07  | 350  | 0.5200          | 0.87     |
+| No log        | 0.08  | 400  | 0.4989          | 0.81     |
+| No log        | 0.09  | 450  | 0.4370          | 0.87     |
+| 0.6058        | 0.1   | 500  | 0.3298          | 0.94     |
+| 0.6058        | 0.11  | 550  | 0.2876          | 0.94     |
+| 0.6058        | 0.12  | 600  | 0.2701          | 0.93     |
+| 0.6058        | 0.13  | 650  | 0.2533          | 0.93     |
+| 0.6058        | 0.14  | 700  | 0.2452          | 0.93     |
+| 0.6058        | 0.15  | 750  | 0.2385          | 0.93     |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

config.json

@@ -1,20 +1,15 @@
 {
   "_name_or_path": "prajjwal1/bert-tiny",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
   "attention_probs_dropout_prob": 0.1,
   "classifier_dropout": null,
   "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",
@@ -22,6 +17,8 @@
   "num_hidden_layers": 2,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
   "transformers_version": "4.35.2",
   "type_vocab_size": 2,
   "use_cache": true,

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