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Anwaarma
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BP-test1

Text Classification
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Safetensors
bert
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End of training

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Files changed (5) hide show
  1. README.md +27 -17
  2. config.json +1 -8
  3. events.out.tfevents.1700919400.a0539e9e3983.5718.5 +2 -2
  4. runs/Nov25_13-45-31_a0539e9e3983/events.out.tfevents.1700919936.a0539e9e3983.5718.8 +2 -2
  5. runs/Nov25_13-45-31_a0539e9e3983/events.out.tfevents.1700919936.a0539e9e3983.5718.9 +2 -2
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.2385
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- - Accuracy: 0.93
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  ## Model description
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@@ -49,21 +49,31 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 0.01 | 50 | 0.6925 | 0.45 |
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- | No log | 0.02 | 100 | 0.6758 | 0.62 |
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- | No log | 0.03 | 150 | 0.6384 | 0.66 |
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- | No log | 0.04 | 200 | 0.6241 | 0.66 |
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- | No log | 0.05 | 250 | 0.6081 | 0.66 |
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- | No log | 0.06 | 300 | 0.5643 | 0.87 |
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- | No log | 0.07 | 350 | 0.5200 | 0.87 |
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- | No log | 0.08 | 400 | 0.4989 | 0.81 |
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- | No log | 0.09 | 450 | 0.4370 | 0.87 |
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- | 0.6058 | 0.1 | 500 | 0.3298 | 0.94 |
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- | 0.6058 | 0.11 | 550 | 0.2876 | 0.94 |
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- | 0.6058 | 0.12 | 600 | 0.2701 | 0.93 |
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- | 0.6058 | 0.13 | 650 | 0.2533 | 0.93 |
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- | 0.6058 | 0.14 | 700 | 0.2452 | 0.93 |
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- | 0.6058 | 0.15 | 750 | 0.2385 | 0.93 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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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: 0.1958
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+ - Accuracy: 0.95
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 0.01 | 50 | 0.6942 | 0.45 |
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+ | No log | 0.02 | 100 | 0.6915 | 0.57 |
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+ | No log | 0.03 | 150 | 0.6879 | 0.55 |
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+ | No log | 0.04 | 200 | 0.6904 | 0.56 |
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+ | No log | 0.05 | 250 | 0.6847 | 0.56 |
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+ | No log | 0.06 | 300 | 0.6693 | 0.56 |
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+ | No log | 0.07 | 350 | 0.5499 | 0.9 |
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+ | No log | 0.08 | 400 | 0.4220 | 0.93 |
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+ | No log | 0.09 | 450 | 0.3421 | 0.93 |
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+ | 0.6127 | 0.1 | 500 | 0.2987 | 0.93 |
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+ | 0.6127 | 0.11 | 550 | 0.2704 | 0.93 |
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+ | 0.6127 | 0.12 | 600 | 0.2530 | 0.93 |
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+ | 0.6127 | 0.13 | 650 | 0.2199 | 0.93 |
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+ | 0.6127 | 0.14 | 700 | 0.2204 | 0.93 |
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+ | 0.6127 | 0.15 | 750 | 0.1965 | 0.95 |
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+ | 0.6127 | 0.16 | 800 | 0.1944 | 0.95 |
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+ | 0.6127 | 0.17 | 850 | 0.1942 | 0.95 |
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+ | 0.6127 | 0.18 | 900 | 0.1938 | 0.95 |
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+ | 0.6127 | 0.19 | 950 | 0.1950 | 0.95 |
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+ | 0.2388 | 0.2 | 1000 | 0.1943 | 0.95 |
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+ | 0.2388 | 0.2 | 1050 | 0.1939 | 0.95 |
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+ | 0.2388 | 0.21 | 1100 | 0.1939 | 0.95 |
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+ | 0.2388 | 0.22 | 1150 | 0.1928 | 0.95 |
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+ | 0.2388 | 0.23 | 1200 | 0.1937 | 0.95 |
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+ | 0.2388 | 0.24 | 1250 | 0.1958 | 0.95 |
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  ### Framework versions
config.json CHANGED
@@ -8,16 +8,8 @@
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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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- },
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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",
@@ -25,6 +17,7 @@
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  "num_hidden_layers": 2,
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  "pad_token_id": 0,
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  "position_embedding_type": "absolute",
 
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  "torch_dtype": "float32",
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  "transformers_version": "4.35.2",
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  "type_vocab_size": 2,
 
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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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  "num_hidden_layers": 2,
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  "pad_token_id": 0,
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  "position_embedding_type": "absolute",
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+ "problem_type": "single_label_classification",
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  "torch_dtype": "float32",
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  "transformers_version": "4.35.2",
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  "type_vocab_size": 2,
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