Hugging Face's logo

rbelanec
/
train_codealpacapy_123_1762506128

PEFT
Safetensors
llama-factory
prompt-tuning
Generated from Trainer
Model card Files
xet
 Community
rbelanec commited on
Commit
992b085
·
verified ·
1 Parent(s): ae86de2

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_123_1762506128
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_123_1762506128
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: 0.5409
21
+ - Num Input Tokens Seen: 24941912
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: 0.03
41
+ - train_batch_size: 4
42
+ - eval_batch_size: 4
43
+ - seed: 123
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
+ | 0.5889 | 1.0 | 1908 | 0.4966 | 1248304 |
54
+ | 0.4331 | 2.0 | 3816 | 0.4844 | 2497016 |
55
+ | 0.4405 | 3.0 | 5724 | 0.4833 | 3742552 |
56
+ | 0.4097 | 4.0 | 7632 | 0.4753 | 4985200 |
57
+ | 0.4668 | 5.0 | 9540 | 0.4767 | 6233920 |
58
+ | 0.4781 | 6.0 | 11448 | 0.4731 | 7478504 |
59
+ | 0.4447 | 7.0 | 13356 | 0.4728 | 8722744 |
60
+ | 0.7575 | 8.0 | 15264 | 0.4755 | 9977520 |
61
+ | 0.4325 | 9.0 | 17172 | 0.4789 | 11225416 |
62
+ | 0.5884 | 10.0 | 19080 | 0.4832 | 12472912 |
63
+ | 0.5296 | 11.0 | 20988 | 0.4880 | 13721824 |
64
+ | 0.4288 | 12.0 | 22896 | 0.4906 | 14970528 |
65
+ | 0.5057 | 13.0 | 24804 | 0.4987 | 16220808 |
66
+ | 0.3346 | 14.0 | 26712 | 0.5085 | 17464792 |
67
+ | 0.328 | 15.0 | 28620 | 0.5197 | 18706976 |
68
+ | 0.2985 | 16.0 | 30528 | 0.5279 | 19956544 |
69
+ | 0.3145 | 17.0 | 32436 | 0.5337 | 21204416 |
70
+ | 0.3131 | 18.0 | 34344 | 0.5392 | 22451928 |
71
+ | 0.3053 | 19.0 | 36252 | 0.5407 | 23696296 |
72
+ | 0.5008 | 20.0 | 38160 | 0.5409 | 24941912 |
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 sha256:76a012b52ea3035bd7cfa0b86e6b682eaf802d05bd2d2f2a2c988f800d9f642a
3
  size 819328
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:12f1e88a81e72232185f2333444673a2cd0ac62368b18273a52e9dbf5ddafa25
3
  size 819328