imdatta0 commited on
Commit
5383e97
1 Parent(s): 425d083

End of training

Browse files
Files changed (2) hide show
  1. README.md +39 -39
  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model is a fine-tuned version of [unsloth/mistral-7b-v0.3-bnb-4bit](https://huggingface.co/unsloth/mistral-7b-v0.3-bnb-4bit) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 7.8233
21
 
22
  ## Model description
23
 
@@ -51,44 +51,44 @@ The following hyperparameters were used during training:
51
 
52
  | Training Loss | Epoch | Step | Validation Loss |
53
  |:-------------:|:------:|:----:|:---------------:|
54
- | 4.7819 | 0.0262 | 4 | 5.1512 |
55
- | 9.2164 | 0.0523 | 8 | 8.3377 |
56
- | 8.1082 | 0.0785 | 12 | 8.9375 |
57
- | 9.0762 | 0.1047 | 16 | 8.3063 |
58
- | 8.2007 | 0.1308 | 20 | 8.0203 |
59
- | 8.168 | 0.1570 | 24 | 8.2340 |
60
- | 7.8692 | 0.1832 | 28 | 7.8876 |
61
- | 7.8831 | 0.2093 | 32 | 7.8978 |
62
- | 7.7946 | 0.2355 | 36 | 7.8117 |
63
- | 7.8717 | 0.2617 | 40 | 7.8140 |
64
- | 7.9497 | 0.2878 | 44 | 7.9363 |
65
- | 8.0978 | 0.3140 | 48 | 7.9038 |
66
- | 7.8654 | 0.3401 | 52 | 7.8165 |
67
- | 7.8036 | 0.3663 | 56 | 7.8578 |
68
- | 7.8264 | 0.3925 | 60 | 7.8504 |
69
- | 7.8333 | 0.4186 | 64 | 7.8426 |
70
- | 7.8526 | 0.4448 | 68 | 7.8285 |
71
- | 7.802 | 0.4710 | 72 | 7.7864 |
72
- | 7.8376 | 0.4971 | 76 | 7.8583 |
73
- | 7.8992 | 0.5233 | 80 | 7.8449 |
74
- | 7.8557 | 0.5495 | 84 | 7.8771 |
75
- | 7.8194 | 0.5756 | 88 | 7.8423 |
76
- | 7.9157 | 0.6018 | 92 | 7.8123 |
77
- | 7.8291 | 0.6280 | 96 | 7.7872 |
78
- | 7.8662 | 0.6541 | 100 | 7.8912 |
79
- | 7.8973 | 0.6803 | 104 | 7.9091 |
80
- | 7.9194 | 0.7065 | 108 | 7.9010 |
81
- | 7.8688 | 0.7326 | 112 | 7.8714 |
82
- | 7.8032 | 0.7588 | 116 | 7.7568 |
83
- | 7.7982 | 0.7850 | 120 | 7.7807 |
84
- | 7.9577 | 0.8111 | 124 | 7.8259 |
85
- | 7.886 | 0.8373 | 128 | 7.8117 |
86
- | 7.8537 | 0.8635 | 132 | 7.7975 |
87
- | 7.832 | 0.8896 | 136 | 7.8116 |
88
- | 7.7412 | 0.9158 | 140 | 7.8055 |
89
- | 7.822 | 0.9419 | 144 | 7.8141 |
90
- | 7.7889 | 0.9681 | 148 | 7.8214 |
91
- | 7.8316 | 0.9943 | 152 | 7.8233 |
92
 
93
 
94
  ### Framework versions
 
17
 
18
  This model is a fine-tuned version of [unsloth/mistral-7b-v0.3-bnb-4bit](https://huggingface.co/unsloth/mistral-7b-v0.3-bnb-4bit) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 7.8323
21
 
22
  ## Model description
23
 
 
51
 
52
  | Training Loss | Epoch | Step | Validation Loss |
53
  |:-------------:|:------:|:----:|:---------------:|
54
+ | 4.9343 | 0.0262 | 4 | 4.5673 |
55
+ | 8.4663 | 0.0523 | 8 | 8.9578 |
56
+ | 9.123 | 0.0785 | 12 | 8.6942 |
57
+ | 8.1876 | 0.1047 | 16 | 7.9600 |
58
+ | 7.9611 | 0.1308 | 20 | 7.9425 |
59
+ | 7.8963 | 0.1570 | 24 | 7.8806 |
60
+ | 7.9541 | 0.1832 | 28 | 7.8846 |
61
+ | 7.8696 | 0.2093 | 32 | 7.9268 |
62
+ | 7.8399 | 0.2355 | 36 | 7.8339 |
63
+ | 7.9017 | 0.2617 | 40 | 7.8005 |
64
+ | 7.9876 | 0.2878 | 44 | 7.8595 |
65
+ | 7.7902 | 0.3140 | 48 | 7.8621 |
66
+ | 7.9025 | 0.3401 | 52 | 7.8706 |
67
+ | 7.8517 | 0.3663 | 56 | 7.8475 |
68
+ | 7.8358 | 0.3925 | 60 | 7.8903 |
69
+ | 7.8265 | 0.4186 | 64 | 7.8085 |
70
+ | 7.9259 | 0.4448 | 68 | 7.8720 |
71
+ | 7.8189 | 0.4710 | 72 | 7.8266 |
72
+ | 7.866 | 0.4971 | 76 | 7.9089 |
73
+ | 7.9191 | 0.5233 | 80 | 7.8740 |
74
+ | 7.9035 | 0.5495 | 84 | 7.8838 |
75
+ | 7.8126 | 0.5756 | 88 | 7.8359 |
76
+ | 7.9197 | 0.6018 | 92 | 7.8574 |
77
+ | 7.8146 | 0.6280 | 96 | 7.7690 |
78
+ | 7.8805 | 0.6541 | 100 | 7.8380 |
79
+ | 7.867 | 0.6803 | 104 | 7.8682 |
80
+ | 7.904 | 0.7065 | 108 | 7.8719 |
81
+ | 7.8756 | 0.7326 | 112 | 7.8702 |
82
+ | 7.8244 | 0.7588 | 116 | 7.7825 |
83
+ | 7.8114 | 0.7850 | 120 | 7.8015 |
84
+ | 7.9641 | 0.8111 | 124 | 7.8350 |
85
+ | 7.8656 | 0.8373 | 128 | 7.7883 |
86
+ | 7.8575 | 0.8635 | 132 | 7.8154 |
87
+ | 7.8503 | 0.8896 | 136 | 7.8298 |
88
+ | 7.7447 | 0.9158 | 140 | 7.8152 |
89
+ | 7.8305 | 0.9419 | 144 | 7.8202 |
90
+ | 7.7952 | 0.9681 | 148 | 7.8314 |
91
+ | 7.8406 | 0.9943 | 152 | 7.8323 |
92
 
93
 
94
  ### Framework versions
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c8dc5cbdff4c25600005d64dfa320c5c699c0287863448a8515064150de60838
3
  size 83945296
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e4f18bfaacc23d7aa263c6068b09ed431366c0f3df41d74a9462c9f0eec0ad6
3
  size 83945296