pszemraj commited on
Commit
dfcffd8
1 Parent(s): 2fd2815

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +66 -0
README.md ADDED
@@ -0,0 +1,66 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ tags:
4
+ - generated_from_trainer
5
+ metrics:
6
+ - accuracy
7
+ model-index:
8
+ - name: multi-emails-hq-pythia-410m-deduped-r1
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
+ # multi-emails-hq-pythia-410m-deduped-r1
16
+
17
+ This model is a fine-tuned version of [EleutherAI/pythia-410m-deduped](https://huggingface.co/EleutherAI/pythia-410m-deduped) on the None dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - Loss: 2.1018
20
+ - Accuracy: 0.6157
21
+
22
+ ## Model description
23
+
24
+ More information needed
25
+
26
+ ## Intended uses & limitations
27
+
28
+ More information needed
29
+
30
+ ## Training and evaluation data
31
+
32
+ More information needed
33
+
34
+ ## Training procedure
35
+
36
+ ### Training hyperparameters
37
+
38
+ The following hyperparameters were used during training:
39
+ - learning_rate: 0.0002
40
+ - train_batch_size: 8
41
+ - eval_batch_size: 2
42
+ - seed: 69
43
+ - distributed_type: multi-GPU
44
+ - gradient_accumulation_steps: 16
45
+ - total_train_batch_size: 128
46
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
+ - lr_scheduler_type: cosine
48
+ - lr_scheduler_warmup_ratio: 0.05
49
+ - num_epochs: 4.0
50
+
51
+ ### Training results
52
+
53
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
54
+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
55
+ | 2.3067 | 1.0 | 38 | 2.3559 | 0.5594 |
56
+ | 1.9243 | 2.0 | 76 | 2.1283 | 0.5975 |
57
+ | 1.5971 | 3.0 | 114 | 2.0759 | 0.6140 |
58
+ | 1.4139 | 4.0 | 152 | 2.1018 | 0.6157 |
59
+
60
+
61
+ ### Framework versions
62
+
63
+ - Transformers 4.27.0.dev0
64
+ - Pytorch 2.0.0.dev20230130+cu118
65
+ - Datasets 2.9.0
66
+ - Tokenizers 0.13.2