jhaochenz commited on
Commit
b0654c9
1 Parent(s): f8bc189

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +55 -0
README.md ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ tags:
4
+ - generated_from_trainer
5
+ datasets:
6
+ - sst2
7
+ model-index:
8
+ - name: finetuned_distilgpt2_sst2_negation0.0_pretrainedFalse_epochs0
9
+ results: []
10
+ ---
11
+
12
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
+ should probably proofread and complete it, then remove this comment. -->
14
+
15
+ # finetuned_distilgpt2_sst2_negation0.0_pretrainedFalse_epochs0
16
+
17
+ This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the sst2 dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - eval_loss: 4.6217
20
+ - eval_runtime: 0.9358
21
+ - eval_samples_per_second: 196.632
22
+ - eval_steps_per_second: 24.579
23
+ - step: 0
24
+
25
+ ## Model description
26
+
27
+ More information needed
28
+
29
+ ## Intended uses & limitations
30
+
31
+ More information needed
32
+
33
+ ## Training and evaluation data
34
+
35
+ More information needed
36
+
37
+ ## Training procedure
38
+
39
+ ### Training hyperparameters
40
+
41
+ The following hyperparameters were used during training:
42
+ - learning_rate: 2e-05
43
+ - train_batch_size: 8
44
+ - eval_batch_size: 8
45
+ - seed: 42
46
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
+ - lr_scheduler_type: linear
48
+ - num_epochs: 0
49
+
50
+ ### Framework versions
51
+
52
+ - Transformers 4.25.1
53
+ - Pytorch 1.7.0
54
+ - Datasets 2.8.0
55
+ - Tokenizers 0.13.2