Hugging Face's logo

TrungChinh
/
test_trainer

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
TrungChinh commited on
Commit
2c51a47
·
verified ·
1 Parent(s): c2de8df

Training completed!

Browse files
Files changed (6) hide show
  1. README.md +83 -0
  2. config.json +27 -0
  3. model.safetensors +3 -0
  4. runs/Jan11_17-16-48_cf7fe26685c0/events.out.tfevents.1704993450.cf7fe26685c0.3720.0 +3 -0
  5. runs/Jan11_17-16-48_cf7fe26685c0/events.out.tfevents.1705002181.cf7fe26685c0.3720.1 +3 -0
  6. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,83 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ base_model: microsoft/xtremedistil-l6-h384-uncased
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - accuracy
8
+ model-index:
9
+ - name: test_trainer
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
+ # test_trainer
17
+
18
+ This model is a fine-tuned version of [microsoft/xtremedistil-l6-h384-uncased](https://huggingface.co/microsoft/xtremedistil-l6-h384-uncased) on the None dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 0.1134
21
+ - Accuracy: 0.9770
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: 3e-05
41
+ - train_batch_size: 128
42
+ - eval_batch_size: 8
43
+ - seed: 42
44
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
+ - lr_scheduler_type: linear
46
+ - num_epochs: 24
47
+
48
+ ### Training results
49
+
50
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
52
+ | No log | 1.0 | 10 | 0.6990 | 0.4967 |
53
+ | No log | 2.0 | 20 | 0.6889 | 0.4967 |
54
+ | No log | 3.0 | 30 | 0.6503 | 0.7697 |
55
+ | No log | 4.0 | 40 | 0.4720 | 0.9276 |
56
+ | No log | 5.0 | 50 | 0.3175 | 0.9572 |
57
+ | No log | 6.0 | 60 | 0.2181 | 0.9770 |
58
+ | No log | 7.0 | 70 | 0.1761 | 0.9770 |
59
+ | No log | 8.0 | 80 | 0.1551 | 0.9770 |
60
+ | No log | 9.0 | 90 | 0.1427 | 0.9770 |
61
+ | No log | 10.0 | 100 | 0.1345 | 0.9770 |
62
+ | No log | 11.0 | 110 | 0.1341 | 0.9737 |
63
+ | No log | 12.0 | 120 | 0.1240 | 0.9770 |
64
+ | No log | 13.0 | 130 | 0.1214 | 0.9770 |
65
+ | No log | 14.0 | 140 | 0.1182 | 0.9770 |
66
+ | No log | 15.0 | 150 | 0.1164 | 0.9770 |
67
+ | No log | 16.0 | 160 | 0.1149 | 0.9770 |
68
+ | No log | 17.0 | 170 | 0.1141 | 0.9770 |
69
+ | No log | 18.0 | 180 | 0.1131 | 0.9770 |
70
+ | No log | 19.0 | 190 | 0.1127 | 0.9770 |
71
+ | No log | 20.0 | 200 | 0.1121 | 0.9770 |
72
+ | No log | 21.0 | 210 | 0.1119 | 0.9770 |
73
+ | No log | 22.0 | 220 | 0.1117 | 0.9770 |
74
+ | No log | 23.0 | 230 | 0.1128 | 0.9770 |
75
+ | No log | 24.0 | 240 | 0.1134 | 0.9770 |
76
+
77
+
78
+ ### Framework versions
79
+
80
+ - Transformers 4.35.2
81
+ - Pytorch 2.1.0+cu121
82
+ - Datasets 2.16.1
83
+ - Tokenizers 0.15.0
config.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "microsoft/xtremedistil-l6-h384-uncased",
3
+ "architectures": [
4
+ "BertForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "classifier_dropout": null,
8
+ "gradient_checkpointing": false,
9
+ "hidden_act": "gelu",
10
+ "hidden_dropout_prob": 0.1,
11
+ "hidden_size": 384,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 1536,
14
+ "layer_norm_eps": 1e-12,
15
+ "max_position_embeddings": 512,
16
+ "model_type": "bert",
17
+ "num_attention_heads": 12,
18
+ "num_hidden_layers": 6,
19
+ "pad_token_id": 0,
20
+ "position_embedding_type": "absolute",
21
+ "problem_type": "single_label_classification",
22
+ "torch_dtype": "float32",
23
+ "transformers_version": "4.35.2",
24
+ "type_vocab_size": 2,
25
+ "use_cache": true,
26
+ "vocab_size": 30522
27
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6263ac21c20b380b8bee067a43af24ac82aa6089e547bc735f6d9b91353e295b
3
+ size 90867952
runs/Jan11_17-16-48_cf7fe26685c0/events.out.tfevents.1704993450.cf7fe26685c0.3720.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7800369cd7268e05ecf6fde5b489a9eb3e9416fe913815025a3f80786c7feb04
3
+ size 12243
runs/Jan11_17-16-48_cf7fe26685c0/events.out.tfevents.1705002181.cf7fe26685c0.3720.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:599ad88dbff93ecdb803c986e97be7cb1e02b5271cf43b11816b896e774a93bf
3
+ size 411
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d26830328bc683ca5c669a9babe363c042bf33dc9e9401263f2bad9ec265a34e
3
+ size 4536