Hugging Face's logo

fergos80
/
mistral-sigoIAspirantes-Orca-oass-v2

PEFT
Safetensors
Generated from Trainer
Model card Files Community
fergos80 commited on
Commit
534fad6
•
1 Parent(s): a4b7af2

End of training

Browse files
Files changed (1) hide show
  1. README.md +17 -17
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
16
 
17
  This model is a fine-tuned version of [NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v2](https://huggingface.co/NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v2) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 0.1354
20
 
21
  ## Model description
22
 
@@ -49,22 +49,22 @@ The following hyperparameters were used during training:
49
 
50
  | Training Loss | Epoch | Step | Validation Loss |
51
  |:-------------:|:-----:|:----:|:---------------:|
52
- | 1.6909 | 0.35 | 25 | 1.2159 |
53
- | 1.0275 | 0.7 | 50 | 0.8422 |
54
- | 0.7147 | 1.06 | 75 | 0.6233 |
55
- | 0.5131 | 1.41 | 100 | 0.5002 |
56
- | 0.3872 | 1.76 | 125 | 0.3971 |
57
- | 0.3419 | 2.11 | 150 | 0.3027 |
58
- | 0.1742 | 2.46 | 175 | 0.2725 |
59
- | 0.2616 | 2.82 | 200 | 0.2068 |
60
- | 0.1427 | 3.17 | 225 | 0.2039 |
61
- | 0.1228 | 3.52 | 250 | 0.1627 |
62
- | 0.1186 | 3.87 | 275 | 0.1441 |
63
- | 0.0751 | 4.23 | 300 | 0.1540 |
64
- | 0.0892 | 4.58 | 325 | 0.1524 |
65
- | 0.0833 | 4.93 | 350 | 0.1327 |
66
- | 0.064 | 5.28 | 375 | 0.1347 |
67
- | 0.06 | 5.63 | 400 | 0.1354 |
68
 
69
 
70
  ### Framework versions
 
16
 
17
  This model is a fine-tuned version of [NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v2](https://huggingface.co/NickyNicky/Mistral-7B-OpenOrca-oasst_top1_2023-08-25-v2) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 0.1361
20
 
21
  ## Model description
22
 
 
49
 
50
  | Training Loss | Epoch | Step | Validation Loss |
51
  |:-------------:|:-----:|:----:|:---------------:|
52
+ | 1.6926 | 0.35 | 25 | 1.2134 |
53
+ | 1.0257 | 0.7 | 50 | 0.8432 |
54
+ | 0.7181 | 1.06 | 75 | 0.6250 |
55
+ | 0.5143 | 1.41 | 100 | 0.4992 |
56
+ | 0.3899 | 1.76 | 125 | 0.3987 |
57
+ | 0.3433 | 2.11 | 150 | 0.3065 |
58
+ | 0.1736 | 2.46 | 175 | 0.2739 |
59
+ | 0.26 | 2.82 | 200 | 0.2005 |
60
+ | 0.1403 | 3.17 | 225 | 0.2055 |
61
+ | 0.1211 | 3.52 | 250 | 0.1642 |
62
+ | 0.1243 | 3.87 | 275 | 0.1487 |
63
+ | 0.0737 | 4.23 | 300 | 0.1565 |
64
+ | 0.0867 | 4.58 | 325 | 0.1590 |
65
+ | 0.0863 | 4.93 | 350 | 0.1355 |
66
+ | 0.0627 | 5.28 | 375 | 0.1360 |
67
+ | 0.0609 | 5.63 | 400 | 0.1361 |
68
 
69
 
70
  ### Framework versions