eskayML commited on
Commit
82f7040
1 Parent(s): 8963bbd

eskayML/interview_classfier

Browse files
.gitattributes ADDED
@@ -0,0 +1 @@
 
 
1
+ model.safetensors filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,79 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: distilbert-base-uncased
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - accuracy
8
+ model-index:
9
+ - name: interview_classifier
10
+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
+ should probably proofread and complete it, then remove this comment. -->
15
+
16
+ # interview_classifier
17
+
18
+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 0.0840
21
+ - Accuracy: 0.9682
22
+
23
+ ## Model description
24
+
25
+ More information needed
26
+
27
+ ## Intended uses & limitations
28
+
29
+ More information needed
30
+
31
+ ## Training and evaluation data
32
+
33
+ More information needed
34
+
35
+ ## Training procedure
36
+
37
+ ### Training hyperparameters
38
+
39
+ The following hyperparameters were used during training:
40
+ - learning_rate: 2e-05
41
+ - train_batch_size: 2
42
+ - eval_batch_size: 2
43
+ - seed: 42
44
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
+ - lr_scheduler_type: linear
46
+ - num_epochs: 20
47
+
48
+ ### Training results
49
+
50
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
52
+ | No log | 1.0 | 79 | 2.2062 | 0.2739 |
53
+ | No log | 2.0 | 158 | 2.0045 | 0.4076 |
54
+ | No log | 3.0 | 237 | 1.6355 | 0.5414 |
55
+ | No log | 4.0 | 316 | 1.2068 | 0.6624 |
56
+ | No log | 5.0 | 395 | 0.7999 | 0.8408 |
57
+ | No log | 6.0 | 474 | 0.5501 | 0.8917 |
58
+ | 1.5743 | 7.0 | 553 | 0.3843 | 0.9299 |
59
+ | 1.5743 | 8.0 | 632 | 0.2837 | 0.9427 |
60
+ | 1.5743 | 9.0 | 711 | 0.2162 | 0.9554 |
61
+ | 1.5743 | 10.0 | 790 | 0.1692 | 0.9682 |
62
+ | 1.5743 | 11.0 | 869 | 0.1464 | 0.9682 |
63
+ | 1.5743 | 12.0 | 948 | 0.1195 | 0.9682 |
64
+ | 0.2976 | 13.0 | 1027 | 0.1085 | 0.9682 |
65
+ | 0.2976 | 14.0 | 1106 | 0.0934 | 0.9682 |
66
+ | 0.2976 | 15.0 | 1185 | 0.0940 | 0.9682 |
67
+ | 0.2976 | 16.0 | 1264 | 0.0869 | 0.9682 |
68
+ | 0.2976 | 17.0 | 1343 | 0.0844 | 0.9682 |
69
+ | 0.2976 | 18.0 | 1422 | 0.0844 | 0.9682 |
70
+ | 0.1102 | 19.0 | 1501 | 0.0822 | 0.9682 |
71
+ | 0.1102 | 20.0 | 1580 | 0.0840 | 0.9682 |
72
+
73
+
74
+ ### Framework versions
75
+
76
+ - Transformers 4.41.0
77
+ - Pytorch 2.3.0+cu121
78
+ - Datasets 2.19.1
79
+ - Tokenizers 0.19.1
config.json ADDED
@@ -0,0 +1,49 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "distilbert-base-uncased",
3
+ "activation": "gelu",
4
+ "architectures": [
5
+ "DistilBertForSequenceClassification"
6
+ ],
7
+ "attention_dropout": 0.1,
8
+ "dim": 768,
9
+ "dropout": 0.1,
10
+ "hidden_dim": 3072,
11
+ "id2label": {
12
+ "0": "Value equation: quality/cost/efficiency/patient-satisfaction",
13
+ "1": "Credentialing / Quality Assurance Infrastructure",
14
+ "2": "Finanicial Impact",
15
+ "3": "Health System Characteristics",
16
+ "4": "Clinical utility & efficiency-Provider perspective",
17
+ "5": "Workflow related problems",
18
+ "6": "Provider characteristcs",
19
+ "7": "Training",
20
+ "8": "Patient/Physican interaction in LUS",
21
+ "9": "Imaging modalities in general"
22
+ },
23
+ "initializer_range": 0.02,
24
+ "label2id": {
25
+ "Clinical utility & efficiency-Provider perspective": 4,
26
+ "Credentialing / Quality Assurance Infrastructure": 1,
27
+ "Finanicial Impact": 2,
28
+ "Health System Characteristics": 3,
29
+ "Imaging modalities in general": 9,
30
+ "Patient/Physican interaction in LUS": 8,
31
+ "Provider characteristcs": 6,
32
+ "Training": 7,
33
+ "Value equation: quality/cost/efficiency/patient-satisfaction": 0,
34
+ "Workflow related problems": 5
35
+ },
36
+ "max_position_embeddings": 512,
37
+ "model_type": "distilbert",
38
+ "n_heads": 12,
39
+ "n_layers": 6,
40
+ "pad_token_id": 0,
41
+ "problem_type": "single_label_classification",
42
+ "qa_dropout": 0.1,
43
+ "seq_classif_dropout": 0.2,
44
+ "sinusoidal_pos_embds": false,
45
+ "tie_weights_": true,
46
+ "torch_dtype": "float32",
47
+ "transformers_version": "4.41.0",
48
+ "vocab_size": 30522
49
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5a7bc671fabaa78d7fb0577e3416cf17e050ef0426c47bbfe165b1384de91d5f
3
+ size 267857176
runs/May24_12-14-46_1a84f68f1e0f/events.out.tfevents.1716552888.1a84f68f1e0f.235.0 ADDED
Binary file (13.1 kB). View file
 
special_tokens_map.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": "[CLS]",
3
+ "mask_token": "[MASK]",
4
+ "pad_token": "[PAD]",
5
+ "sep_token": "[SEP]",
6
+ "unk_token": "[UNK]"
7
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "[PAD]",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "100": {
12
+ "content": "[UNK]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "101": {
20
+ "content": "[CLS]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "102": {
28
+ "content": "[SEP]",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "103": {
36
+ "content": "[MASK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "clean_up_tokenization_spaces": true,
45
+ "cls_token": "[CLS]",
46
+ "do_lower_case": true,
47
+ "mask_token": "[MASK]",
48
+ "max_length": 512,
49
+ "model_max_length": 512,
50
+ "pad_token": "[PAD]",
51
+ "sep_token": "[SEP]",
52
+ "strip_accents": null,
53
+ "tokenize_chinese_chars": true,
54
+ "tokenizer_class": "DistilBertTokenizer",
55
+ "unk_token": "[UNK]"
56
+ }
training_args.bin ADDED
Binary file (5.11 kB). View file
 
vocab.txt ADDED
The diff for this file is too large to render. See raw diff