Hugging Face's logo

rbelanec
/
train_codealpacapy_42_1760664611

PEFT
Safetensors
llama-factory
p-tuning
Generated from Trainer
Model card Files
xet
Community
rbelanec commited on
Commit
ef32c45
路
verified 路
1 Parent(s): 2435a62

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_42_1760664611
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_42_1760664611
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: 0.4669
21
+ - Num Input Tokens Seen: 24887720
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: 42
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
+ | 0.4991 | 1.0 | 1908 | 0.4799 | 1243048 |
54
+ | 0.3548 | 2.0 | 3816 | 0.4697 | 2489456 |
55
+ | 0.4295 | 3.0 | 5724 | 0.4684 | 3733736 |
56
+ | 0.515 | 4.0 | 7632 | 0.4609 | 4976128 |
57
+ | 0.5856 | 5.0 | 9540 | 0.4563 | 6219592 |
58
+ | 0.5946 | 6.0 | 11448 | 0.4549 | 7467968 |
59
+ | 0.4937 | 7.0 | 13356 | 0.4562 | 8709168 |
60
+ | 0.4793 | 8.0 | 15264 | 0.4539 | 9958360 |
61
+ | 0.4566 | 9.0 | 17172 | 0.4536 | 11204000 |
62
+ | 0.4859 | 10.0 | 19080 | 0.4540 | 12446408 |
63
+ | 0.3744 | 11.0 | 20988 | 0.4555 | 13691904 |
64
+ | 0.4353 | 12.0 | 22896 | 0.4597 | 14937216 |
65
+ | 0.5904 | 13.0 | 24804 | 0.4587 | 16179624 |
66
+ | 0.3804 | 14.0 | 26712 | 0.4592 | 17425368 |
67
+ | 0.3276 | 15.0 | 28620 | 0.4626 | 18668536 |
68
+ | 0.458 | 16.0 | 30528 | 0.4635 | 19916008 |
69
+ | 0.2553 | 17.0 | 32436 | 0.4646 | 21158120 |
70
+ | 0.4614 | 18.0 | 34344 | 0.4666 | 22400368 |
71
+ | 0.402 | 19.0 | 36252 | 0.4667 | 23645440 |
72
+ | 0.301 | 20.0 | 38160 | 0.4669 | 24887720 |
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:b13529cef821fd01e7696b55ffbcc6a7ca313bb6d1473e97ec144523e1188d77
3
  size 1638528
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d1cf8c61df987e1d5f50bf0b12301bcb4c54db47f09d71b2071d2a14dc87b0b2
3
  size 1638528