Hugging Face's logo

imdatta0
/
Mistral-7B-v0.3_metamath_ortho

PEFT
Safetensors
unsloth
Generated from Trainer
Model card Files Community
imdatta0 commited on
Commit
10bfb84
·
verified ·
1 Parent(s): bd23ebd

End of training

Browse files
Files changed (2) hide show
  1. README.md +48 -48
  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](https://huggingface.co/unsloth/mistral-7b-v0.3) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 3.7040
21
 
22
  ## Model description
23
 
@@ -51,53 +51,53 @@ The following hyperparameters were used during training:
51
 
52
  | Training Loss | Epoch | Step | Validation Loss |
53
  |:-------------:|:------:|:----:|:---------------:|
54
- | 0.7777 | 0.0211 | 13 | 0.8341 |
55
- | 7.0293 | 0.0421 | 26 | 6.8513 |
56
- | 6.701 | 0.0632 | 39 | 6.3677 |
57
- | 6.2243 | 0.0842 | 52 | 6.0330 |
58
- | 5.8724 | 0.1053 | 65 | 5.7326 |
59
- | 5.6516 | 0.1264 | 78 | 5.5358 |
60
- | 5.4706 | 0.1474 | 91 | 5.4924 |
61
- | 5.4721 | 0.1685 | 104 | 5.4835 |
62
- | 5.3039 | 0.1896 | 117 | 5.2730 |
63
- | 5.2205 | 0.2106 | 130 | 5.3434 |
64
- | 5.2713 | 0.2317 | 143 | 5.1822 |
65
- | 5.3149 | 0.2527 | 156 | 5.1724 |
66
- | 5.0644 | 0.2738 | 169 | 4.9613 |
67
- | 4.9846 | 0.2949 | 182 | 4.9757 |
68
- | 5.0517 | 0.3159 | 195 | 4.9266 |
69
- | 4.865 | 0.3370 | 208 | 4.8010 |
70
- | 4.7282 | 0.3580 | 221 | 4.6863 |
71
- | 4.7043 | 0.3791 | 234 | 4.8179 |
72
- | 4.625 | 0.4002 | 247 | 4.7745 |
73
- | 4.6588 | 0.4212 | 260 | 4.5501 |
74
- | 4.5945 | 0.4423 | 273 | 4.6777 |
75
- | 4.5486 | 0.4633 | 286 | 4.4474 |
76
- | 4.5306 | 0.4844 | 299 | 4.2966 |
77
- | 4.2913 | 0.5055 | 312 | 4.3590 |
78
- | 4.2849 | 0.5265 | 325 | 4.2581 |
79
- | 4.2128 | 0.5476 | 338 | 4.2430 |
80
- | 4.2097 | 0.5687 | 351 | 4.1542 |
81
- | 4.1464 | 0.5897 | 364 | 4.0493 |
82
- | 4.0945 | 0.6108 | 377 | 4.1035 |
83
- | 4.1179 | 0.6318 | 390 | 4.0137 |
84
- | 3.985 | 0.6529 | 403 | 4.0483 |
85
- | 3.8947 | 0.6740 | 416 | 3.9081 |
86
- | 3.9839 | 0.6950 | 429 | 3.9723 |
87
- | 3.9361 | 0.7161 | 442 | 3.9275 |
88
- | 3.8458 | 0.7371 | 455 | 3.8235 |
89
- | 3.8545 | 0.7582 | 468 | 3.8504 |
90
- | 3.7774 | 0.7793 | 481 | 3.8078 |
91
- | 3.8065 | 0.8003 | 494 | 3.8017 |
92
- | 3.7724 | 0.8214 | 507 | 3.7487 |
93
- | 3.7569 | 0.8424 | 520 | 3.7663 |
94
- | 3.742 | 0.8635 | 533 | 3.7698 |
95
- | 3.7114 | 0.8846 | 546 | 3.7603 |
96
- | 3.7752 | 0.9056 | 559 | 3.7105 |
97
- | 3.6945 | 0.9267 | 572 | 3.7041 |
98
- | 3.6581 | 0.9478 | 585 | 3.7017 |
99
- | 3.6615 | 0.9688 | 598 | 3.7050 |
100
- | 3.6688 | 0.9899 | 611 | 3.7040 |
101
 
102
 
103
  ### Framework versions
 
17
 
18
  This model is a fine-tuned version of [unsloth/mistral-7b-v0.3](https://huggingface.co/unsloth/mistral-7b-v0.3) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 3.8319
21
 
22
  ## Model description
23
 
 
51
 
52
  | Training Loss | Epoch | Step | Validation Loss |
53
  |:-------------:|:------:|:----:|:---------------:|
54
+ | 0.7761 | 0.0211 | 13 | 0.8475 |
55
+ | 5.7285 | 0.0421 | 26 | 7.1242 |
56
+ | 6.6463 | 0.0632 | 39 | 6.4624 |
57
+ | 6.3183 | 0.0842 | 52 | 6.2700 |
58
+ | 6.3056 | 0.1053 | 65 | 6.3511 |
59
+ | 6.2849 | 0.1264 | 78 | 6.2801 |
60
+ | 6.2952 | 0.1474 | 91 | 6.3205 |
61
+ | 6.2939 | 0.1685 | 104 | 6.3566 |
62
+ | 6.2779 | 0.1896 | 117 | 6.2580 |
63
+ | 6.087 | 0.2106 | 130 | 5.9797 |
64
+ | 5.8495 | 0.2317 | 143 | 5.8683 |
65
+ | 5.6782 | 0.2527 | 156 | 5.5177 |
66
+ | 5.4335 | 0.2738 | 169 | 5.3885 |
67
+ | 5.4451 | 0.2949 | 182 | 5.7948 |
68
+ | 5.5833 | 0.3159 | 195 | 5.2887 |
69
+ | 5.2684 | 0.3370 | 208 | 5.3036 |
70
+ | 5.1159 | 0.3580 | 221 | 5.1110 |
71
+ | 5.0046 | 0.3791 | 234 | 4.9806 |
72
+ | 4.9134 | 0.4002 | 247 | 4.9382 |
73
+ | 4.9145 | 0.4212 | 260 | 4.9544 |
74
+ | 4.7976 | 0.4423 | 273 | 4.7954 |
75
+ | 4.7328 | 0.4633 | 286 | 4.6897 |
76
+ | 4.6799 | 0.4844 | 299 | 4.5793 |
77
+ | 4.5047 | 0.5055 | 312 | 4.6603 |
78
+ | 4.529 | 0.5265 | 325 | 4.4405 |
79
+ | 4.3835 | 0.5476 | 338 | 4.3916 |
80
+ | 4.4279 | 0.5687 | 351 | 4.2860 |
81
+ | 4.3177 | 0.5897 | 364 | 4.3171 |
82
+ | 4.39 | 0.6108 | 377 | 4.3272 |
83
+ | 4.3138 | 0.6318 | 390 | 4.3753 |
84
+ | 4.2269 | 0.6529 | 403 | 4.3339 |
85
+ | 4.1075 | 0.6740 | 416 | 4.1693 |
86
+ | 4.2285 | 0.6950 | 429 | 4.1187 |
87
+ | 4.1297 | 0.7161 | 442 | 4.1251 |
88
+ | 4.0021 | 0.7371 | 455 | 4.0365 |
89
+ | 4.0089 | 0.7582 | 468 | 4.0025 |
90
+ | 3.9458 | 0.7793 | 481 | 3.9924 |
91
+ | 3.9405 | 0.8003 | 494 | 3.9254 |
92
+ | 3.9594 | 0.8214 | 507 | 3.8890 |
93
+ | 3.9056 | 0.8424 | 520 | 3.8774 |
94
+ | 3.8639 | 0.8635 | 533 | 3.8758 |
95
+ | 3.8543 | 0.8846 | 546 | 3.8680 |
96
+ | 3.9097 | 0.9056 | 559 | 3.8502 |
97
+ | 3.8503 | 0.9267 | 572 | 3.8287 |
98
+ | 3.789 | 0.9478 | 585 | 3.8357 |
99
+ | 3.7923 | 0.9688 | 598 | 3.8299 |
100
+ | 3.8071 | 0.9899 | 611 | 3.8319 |
101
 
102
 
103
  ### Framework versions
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e6001db324d3bc6ffa9be90408ec4ab99dd103b0c355066dd9a473cbd3948f2a
3
  size 83945296
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ab76f276c81754b961b6903f98b69dff1d035fce45a529c401a0bd9be6b4e877
3
  size 83945296