Hugging Face's logo

rbelanec
/
train_codealpacapy_101112_1770438262

PEFT
Safetensors
llama-factory
p-tuning
Generated from Trainer
Model card Files
xet
 Community
rbelanec commited on
Commit
1466ccf
·
verified ·
1 Parent(s): 493de47

Model save

Browse files
Files changed (2) hide show
  1. README.md +81 -0
  2. adapter_model.safetensors +1 -1
README.md ADDED
@@ -0,0 +1,81 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ license: llama3
4
+ base_model: meta-llama/Meta-Llama-3-8B-Instruct
5
+ tags:
6
+ - llama-factory
7
+ - generated_from_trainer
8
+ model-index:
9
+ - name: train_codealpacapy_101112_1770438262
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
+ # train_codealpacapy_101112_1770438262
17
+
18
+ This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
19
+ It achieves the following results on the evaluation set:
20
+ - Loss: 0.4942
21
+ - Num Input Tokens Seen: 24913312
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: 0.001
41
+ - train_batch_size: 4
42
+ - eval_batch_size: 4
43
+ - seed: 101112
44
+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
45
+ - lr_scheduler_type: cosine
46
+ - lr_scheduler_warmup_ratio: 0.1
47
+ - num_epochs: 20
48
+
49
+ ### Training results
50
+
51
+ | Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
52
+ |:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
53
+ | 0.6502 | 1.0 | 1908 | 0.5047 | 1245424 |
54
+ | 0.5121 | 2.0 | 3816 | 0.4964 | 2489840 |
55
+ | 0.4514 | 3.0 | 5724 | 0.4886 | 3736568 |
56
+ | 0.4348 | 4.0 | 7632 | 0.4900 | 4984176 |
57
+ | 0.4158 | 5.0 | 9540 | 0.4862 | 6229240 |
58
+ | 0.4036 | 6.0 | 11448 | 0.4906 | 7476480 |
59
+ | 0.425 | 7.0 | 13356 | 0.4846 | 8722408 |
60
+ | 0.4785 | 8.0 | 15264 | 0.4832 | 9967176 |
61
+ | 0.3771 | 9.0 | 17172 | 0.4847 | 11214472 |
62
+ | 0.3931 | 10.0 | 19080 | 0.4845 | 12463312 |
63
+ | 0.5228 | 11.0 | 20988 | 0.4846 | 13708664 |
64
+ | 0.4694 | 12.0 | 22896 | 0.4867 | 14951560 |
65
+ | 0.471 | 13.0 | 24804 | 0.4856 | 16193456 |
66
+ | 0.4008 | 14.0 | 26712 | 0.4889 | 17439088 |
67
+ | 0.4933 | 15.0 | 28620 | 0.4885 | 18687760 |
68
+ | 0.3565 | 16.0 | 30528 | 0.4923 | 19936088 |
69
+ | 0.3716 | 17.0 | 32436 | 0.4926 | 21184936 |
70
+ | 0.3937 | 18.0 | 34344 | 0.4931 | 22429992 |
71
+ | 0.3256 | 19.0 | 36252 | 0.4940 | 23671264 |
72
+ | 0.3567 | 20.0 | 38160 | 0.4942 | 24913312 |
73
+
74
+
75
+ ### Framework versions
76
+
77
+ - PEFT 0.15.2
78
+ - Transformers 4.51.3
79
+ - Pytorch 2.8.0+cu128
80
+ - Datasets 3.6.0
81
+ - Tokenizers 0.21.1
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:420eeec77da01b8dc95b0fa544d8ce0b0623ee957e2c69d124b671c9289d2e38
3
  size 1638528
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5740cbc87898252a04928de57fbd9250c1bd6a834f03ece9060aa010cd31f73d
3
  size 1638528