Hugging Face's logo

nerottt
/
lc_reddit

PEFT
Safetensors
trl
sft
Generated from Trainer
Model card Files
xet
Community
nerottt commited on
Commit
067ebe5
·
verified ·
1 Parent(s): 9c4f6cf

End of training

Browse files
Files changed (1) hide show
  1. README.md +110 -0
README.md ADDED
@@ -0,0 +1,110 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ library_name: peft
4
+ tags:
5
+ - trl
6
+ - sft
7
+ - generated_from_trainer
8
+ base_model: mistralai/Mistral-7B-v0.1
9
+ model-index:
10
+ - name: lc_reddit
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # lc_reddit
18
+
19
+ This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 2.4421
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: 2e-05
41
+ - train_batch_size: 1
42
+ - eval_batch_size: 1
43
+ - seed: 42
44
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
45
+ - lr_scheduler_type: cosine
46
+ - num_epochs: 50
47
+
48
+ ### Training results
49
+
50
+ | Training Loss | Epoch | Step | Validation Loss |
51
+ |:-------------:|:-----:|:-----:|:---------------:|
52
+ | 1.893 | 1.0 | 306 | 1.8913 |
53
+ | 2.0254 | 2.0 | 612 | 1.8820 |
54
+ | 1.7988 | 3.0 | 918 | 1.8821 |
55
+ | 1.6315 | 4.0 | 1224 | 1.8907 |
56
+ | 1.6124 | 5.0 | 1530 | 1.9035 |
57
+ | 1.7146 | 6.0 | 1836 | 1.9222 |
58
+ | 1.5807 | 7.0 | 2142 | 1.9383 |
59
+ | 1.4356 | 8.0 | 2448 | 1.9796 |
60
+ | 1.4935 | 9.0 | 2754 | 1.9838 |
61
+ | 1.3923 | 10.0 | 3060 | 2.0112 |
62
+ | 1.5712 | 11.0 | 3366 | 2.0217 |
63
+ | 1.5216 | 12.0 | 3672 | 2.0493 |
64
+ | 1.2513 | 13.0 | 3978 | 2.0731 |
65
+ | 1.2956 | 14.0 | 4284 | 2.1151 |
66
+ | 1.5635 | 15.0 | 4590 | 2.1298 |
67
+ | 1.4956 | 16.0 | 4896 | 2.1525 |
68
+ | 1.3592 | 17.0 | 5202 | 2.1751 |
69
+ | 1.1305 | 18.0 | 5508 | 2.1893 |
70
+ | 1.1396 | 19.0 | 5814 | 2.2454 |
71
+ | 1.3858 | 20.0 | 6120 | 2.2797 |
72
+ | 1.3174 | 21.0 | 6426 | 2.2689 |
73
+ | 1.5609 | 22.0 | 6732 | 2.3098 |
74
+ | 1.3431 | 23.0 | 7038 | 2.3238 |
75
+ | 1.3111 | 24.0 | 7344 | 2.3742 |
76
+ | 1.1365 | 25.0 | 7650 | 2.3727 |
77
+ | 1.3318 | 26.0 | 7956 | 2.3978 |
78
+ | 1.3297 | 27.0 | 8262 | 2.3647 |
79
+ | 1.2178 | 28.0 | 8568 | 2.3971 |
80
+ | 1.2757 | 29.0 | 8874 | 2.4292 |
81
+ | 1.236 | 30.0 | 9180 | 2.4170 |
82
+ | 1.1888 | 31.0 | 9486 | 2.4439 |
83
+ | 1.0917 | 32.0 | 9792 | 2.4225 |
84
+ | 1.1148 | 33.0 | 10098 | 2.4166 |
85
+ | 1.1907 | 34.0 | 10404 | 2.4318 |
86
+ | 1.1906 | 35.0 | 10710 | 2.4352 |
87
+ | 1.2238 | 36.0 | 11016 | 2.4471 |
88
+ | 1.1596 | 37.0 | 11322 | 2.4382 |
89
+ | 1.2184 | 38.0 | 11628 | 2.4343 |
90
+ | 1.2428 | 39.0 | 11934 | 2.4422 |
91
+ | 1.3111 | 40.0 | 12240 | 2.4397 |
92
+ | 1.2845 | 41.0 | 12546 | 2.4460 |
93
+ | 1.3173 | 42.0 | 12852 | 2.4428 |
94
+ | 1.193 | 43.0 | 13158 | 2.4430 |
95
+ | 1.1774 | 44.0 | 13464 | 2.4425 |
96
+ | 1.1868 | 45.0 | 13770 | 2.4396 |
97
+ | 1.2042 | 46.0 | 14076 | 2.4430 |
98
+ | 1.2833 | 47.0 | 14382 | 2.4398 |
99
+ | 1.2766 | 48.0 | 14688 | 2.4410 |
100
+ | 1.4958 | 49.0 | 14994 | 2.4412 |
101
+ | 1.1868 | 50.0 | 15300 | 2.4421 |
102
+
103
+
104
+ ### Framework versions
105
+
106
+ - PEFT 0.11.1
107
+ - Transformers 4.41.2
108
+ - Pytorch 2.1.0+cu118
109
+ - Datasets 2.19.2
110
+ - Tokenizers 0.19.1