aguinrodriguezj commited on
Commit
5214175
1 Parent(s): 13177c2

End of training

Browse files
README.md ADDED
@@ -0,0 +1,81 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: distilbert-base-uncased
4
+ tags:
5
+ - generated_from_trainer
6
+ datasets:
7
+ - imdb
8
+ metrics:
9
+ - accuracy
10
+ - f1
11
+ model-index:
12
+ - name: FineTuning-distilBERT-SentimentAnalysis-3000samples
13
+ results:
14
+ - task:
15
+ name: Text Classification
16
+ type: text-classification
17
+ dataset:
18
+ name: imdb
19
+ type: imdb
20
+ config: plain_text
21
+ split: test
22
+ args: plain_text
23
+ metrics:
24
+ - name: Accuracy
25
+ type: accuracy
26
+ value: 0.8833333333333333
27
+ - name: F1
28
+ type: f1
29
+ value: 0.8867313915857605
30
+ ---
31
+
32
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
33
+ should probably proofread and complete it, then remove this comment. -->
34
+
35
+ # FineTuning-distilBERT-SentimentAnalysis-3000samples
36
+
37
+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the imdb dataset.
38
+ It achieves the following results on the evaluation set:
39
+ - Loss: 0.3595
40
+ - Accuracy: 0.8833
41
+ - F1: 0.8867
42
+
43
+ ## Model description
44
+
45
+ More information needed
46
+
47
+ ## Intended uses & limitations
48
+
49
+ More information needed
50
+
51
+ ## Training and evaluation data
52
+
53
+ More information needed
54
+
55
+ ## Training procedure
56
+
57
+ ### Training hyperparameters
58
+
59
+ The following hyperparameters were used during training:
60
+ - learning_rate: 2e-05
61
+ - train_batch_size: 16
62
+ - eval_batch_size: 16
63
+ - seed: 42
64
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
65
+ - lr_scheduler_type: linear
66
+ - num_epochs: 2
67
+
68
+ ### Training results
69
+
70
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
71
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
72
+ | No log | 1.0 | 188 | 0.3306 | 0.8633 | 0.8731 |
73
+ | No log | 2.0 | 376 | 0.3595 | 0.8833 | 0.8867 |
74
+
75
+
76
+ ### Framework versions
77
+
78
+ - Transformers 4.35.2
79
+ - Pytorch 2.1.0+cu118
80
+ - Datasets 2.15.0
81
+ - Tokenizers 0.15.0
runs/Nov26_08-25-14_c48eebfa4c61/events.out.tfevents.1700990143.c48eebfa4c61.163.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6a3412c2b549fd170dd7b0b3e922b3c1e1451ca1abc30d53b73fec9d752947f0
3
+ size 457