joseph10 commited on
Commit
7a0b34b
1 Parent(s): f6697d8

Training in progress, epoch 1

Browse files
Files changed (3) hide show
  1. README.md +65 -0
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md ADDED
@@ -0,0 +1,65 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: agvidit1/TinyBert-Berttoken-Toxigen-pretrain
4
+ tags:
5
+ - generated_from_trainer
6
+ metrics:
7
+ - accuracy
8
+ model-index:
9
+ - name: tinybert-toxigen-bothpretrained
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
+ # tinybert-toxigen-bothpretrained
17
+
18
+ This model is a fine-tuned version of [agvidit1/TinyBert-Berttoken-Toxigen-pretrain](https://huggingface.co/agvidit1/TinyBert-Berttoken-Toxigen-pretrain) on an unknown dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 0.2482
21
+ - Accuracy: 0.7702
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: 6.534672522105872e-05
41
+ - train_batch_size: 128
42
+ - eval_batch_size: 128
43
+ - seed: 33
44
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
+ - lr_scheduler_type: linear
46
+ - num_epochs: 6
47
+
48
+ ### Training results
49
+
50
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
52
+ | 0.2425 | 1.0 | 55 | 0.2482 | 0.7596 |
53
+ | 0.2382 | 2.0 | 110 | 0.2482 | 0.7677 |
54
+ | 0.2363 | 3.0 | 165 | 0.2483 | 0.7591 |
55
+ | 0.2348 | 4.0 | 220 | 0.2484 | 0.7707 |
56
+ | 0.2343 | 5.0 | 275 | 0.2487 | 0.7672 |
57
+ | 0.2342 | 6.0 | 330 | 0.2482 | 0.7702 |
58
+
59
+
60
+ ### Framework versions
61
+
62
+ - Transformers 4.36.0.dev0
63
+ - Pytorch 2.1.1
64
+ - Datasets 2.15.0
65
+ - Tokenizers 0.15.0
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f1dfeebb0640c7f2821faeac1bbfb79f2eda297930ff584af2cc6f1f2404d9ce
3
  size 44692608
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fae940518b9138be908e420408144ad432daa4980f7e6a067fbc36b7100f7ced
3
  size 44692608
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c910c119accf4bbf865cec75218ffcb177b5dd17c6f67c36518b8f592afcb473
3
  size 4792
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d41ebb2d91b2b96cf166ffde7a2bb93d84f50fc3c75d223059c00ff14ec5c8f2
3
  size 4792