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eskayML
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interview_classifier

Text Classification
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Safetensors
distilbert
Generated from Trainer
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eskayML commited on
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eskayML/interview_classfier

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Files changed (5) hide show
  1. README.md +23 -23
  2. config.json +5 -5
  3. model.safetensors +1 -1
  4. runs/Jun03_13-55-56_ae93aebd6432/events.out.tfevents.1717422957.ae93aebd6432.154.0 +0 -0
  5. training_args.bin +0 -0
README.md CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0840
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  - Accuracy: 0.9682
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  ## Model description
@@ -49,31 +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 | 1.0 | 79 | 2.2062 | 0.2739 |
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- | No log | 2.0 | 158 | 2.0045 | 0.4076 |
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- | No log | 3.0 | 237 | 1.6355 | 0.5414 |
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- | No log | 4.0 | 316 | 1.2068 | 0.6624 |
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- | No log | 5.0 | 395 | 0.7999 | 0.8408 |
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- | No log | 6.0 | 474 | 0.5501 | 0.8917 |
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- | 1.5743 | 7.0 | 553 | 0.3843 | 0.9299 |
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- | 1.5743 | 8.0 | 632 | 0.2837 | 0.9427 |
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- | 1.5743 | 9.0 | 711 | 0.2162 | 0.9554 |
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- | 1.5743 | 10.0 | 790 | 0.1692 | 0.9682 |
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- | 1.5743 | 11.0 | 869 | 0.1464 | 0.9682 |
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- | 1.5743 | 12.0 | 948 | 0.1195 | 0.9682 |
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- | 0.2976 | 13.0 | 1027 | 0.1085 | 0.9682 |
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- | 0.2976 | 14.0 | 1106 | 0.0934 | 0.9682 |
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- | 0.2976 | 15.0 | 1185 | 0.0940 | 0.9682 |
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- | 0.2976 | 16.0 | 1264 | 0.0869 | 0.9682 |
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- | 0.2976 | 17.0 | 1343 | 0.0844 | 0.9682 |
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- | 0.2976 | 18.0 | 1422 | 0.0844 | 0.9682 |
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- | 0.1102 | 19.0 | 1501 | 0.0822 | 0.9682 |
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- | 0.1102 | 20.0 | 1580 | 0.0840 | 0.9682 |
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  ### Framework versions
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- - Transformers 4.41.0
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  - Pytorch 2.3.0+cu121
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- - Datasets 2.19.1
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  - Tokenizers 0.19.1
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1049
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  - Accuracy: 0.9682
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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 | 1.0 | 79 | 2.2043 | 0.1720 |
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+ | No log | 2.0 | 158 | 1.8878 | 0.4331 |
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+ | No log | 3.0 | 237 | 1.4540 | 0.6624 |
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+ | No log | 4.0 | 316 | 1.1512 | 0.7134 |
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+ | No log | 5.0 | 395 | 0.8028 | 0.8153 |
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+ | No log | 6.0 | 474 | 0.5610 | 0.8854 |
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+ | 1.5247 | 7.0 | 553 | 0.4031 | 0.9299 |
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+ | 1.5247 | 8.0 | 632 | 0.3275 | 0.9172 |
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+ | 1.5247 | 9.0 | 711 | 0.2420 | 0.9363 |
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+ | 1.5247 | 10.0 | 790 | 0.1941 | 0.9490 |
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+ | 1.5247 | 11.0 | 869 | 0.1656 | 0.9682 |
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+ | 1.5247 | 12.0 | 948 | 0.1444 | 0.9682 |
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+ | 0.3164 | 13.0 | 1027 | 0.1325 | 0.9682 |
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+ | 0.3164 | 14.0 | 1106 | 0.1194 | 0.9682 |
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+ | 0.3164 | 15.0 | 1185 | 0.1145 | 0.9682 |
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+ | 0.3164 | 16.0 | 1264 | 0.1138 | 0.9682 |
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+ | 0.3164 | 17.0 | 1343 | 0.1101 | 0.9682 |
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+ | 0.3164 | 18.0 | 1422 | 0.1074 | 0.9682 |
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+ | 0.1327 | 19.0 | 1501 | 0.1050 | 0.9682 |
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+ | 0.1327 | 20.0 | 1580 | 0.1049 | 0.9682 |
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  ### Framework versions
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+ - Transformers 4.41.1
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  - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.2
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  - Tokenizers 0.19.1
config.json CHANGED
@@ -9,13 +9,13 @@
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  "dropout": 0.1,
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  "hidden_dim": 3072,
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  "id2label": {
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- "0": "Value equation: quality/cost/efficiency/patient-satisfaction",
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  "1": "Credentialing / Quality Assurance Infrastructure",
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  "2": "Finanicial Impact",
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  "3": "Health System Characteristics",
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  "4": "Clinical utility & efficiency-Provider perspective",
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  "5": "Workflow related problems",
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- "6": "Provider characteristcs",
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  "7": "Training",
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  "8": "Patient/Physican interaction in LUS",
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  "9": "Imaging modalities in general"
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  "Health System Characteristics": 3,
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  "Imaging modalities in general": 9,
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  "Patient/Physican interaction in LUS": 8,
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- "Provider characteristcs": 6,
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  "Training": 7,
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- "Value equation: quality/cost/efficiency/patient-satisfaction": 0,
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  "Workflow related problems": 5
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  },
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  "max_position_embeddings": 512,
@@ -44,6 +44,6 @@
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  "sinusoidal_pos_embds": false,
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  "tie_weights_": true,
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  "torch_dtype": "float32",
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- "transformers_version": "4.41.0",
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  "vocab_size": 30522
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  }
 
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  "dropout": 0.1,
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  "hidden_dim": 3072,
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  "id2label": {
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+ "0": "Value equation",
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  "1": "Credentialing / Quality Assurance Infrastructure",
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  "2": "Finanicial Impact",
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  "3": "Health System Characteristics",
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  "4": "Clinical utility & efficiency-Provider perspective",
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  "5": "Workflow related problems",
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+ "6": "Provider Characteristics",
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  "7": "Training",
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  "8": "Patient/Physican interaction in LUS",
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  "9": "Imaging modalities in general"
 
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  "Health System Characteristics": 3,
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  "Imaging modalities in general": 9,
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  "Patient/Physican interaction in LUS": 8,
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+ "Provider Characteristics": 6,
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  "Training": 7,
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+ "Value equation": 0,
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  "Workflow related problems": 5
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  },
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  "max_position_embeddings": 512,
 
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  "sinusoidal_pos_embds": false,
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  "tie_weights_": true,
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  "torch_dtype": "float32",
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+ "transformers_version": "4.41.1",
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  "vocab_size": 30522
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  }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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runs/Jun03_13-55-56_ae93aebd6432/events.out.tfevents.1717422957.ae93aebd6432.154.0 ADDED
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training_args.bin CHANGED
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