Hugging Face's logo

Shakhovak
/
Mistral-7B-Instruct-v0.2-absa-laptops

Generated from Trainer
Model card Files Community
Shakhovak commited on
Commit
3848db5
•
1 Parent(s): 2f57bac

End of training

Browse files
Files changed (3) hide show
  1. README.md +11 -11
  2. adapter_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 0.0255
19
 
20
  ## Model description
21
 
@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
50
 
51
  | Training Loss | Epoch | Step | Validation Loss |
52
  |:-------------:|:-----:|:----:|:---------------:|
53
- | 1.1744 | 0.36 | 40 | 0.1838 |
54
- | 0.0733 | 0.72 | 80 | 0.0358 |
55
- | 0.0266 | 1.08 | 120 | 0.0299 |
56
- | 0.0211 | 1.44 | 160 | 0.0299 |
57
- | 0.0207 | 1.8 | 200 | 0.0260 |
58
- | 0.0166 | 2.16 | 240 | 0.0250 |
59
- | 0.014 | 2.52 | 280 | 0.0248 |
60
- | 0.0125 | 2.88 | 320 | 0.0244 |
61
- | 0.0109 | 3.24 | 360 | 0.0256 |
62
- | 0.0089 | 3.6 | 400 | 0.0255 |
63
 
64
 
65
  ### Framework versions
 
15
 
16
  This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 0.0203
19
 
20
  ## Model description
21
 
 
50
 
51
  | Training Loss | Epoch | Step | Validation Loss |
52
  |:-------------:|:-----:|:----:|:---------------:|
53
+ | 1.1762 | 0.36 | 40 | 0.1817 |
54
+ | 0.076 | 0.72 | 80 | 0.0282 |
55
+ | 0.0265 | 1.08 | 120 | 0.0245 |
56
+ | 0.019 | 1.44 | 160 | 0.0211 |
57
+ | 0.0196 | 1.8 | 200 | 0.0208 |
58
+ | 0.017 | 2.16 | 240 | 0.0207 |
59
+ | 0.0126 | 2.52 | 280 | 0.0208 |
60
+ | 0.0126 | 2.88 | 320 | 0.0209 |
61
+ | 0.0103 | 3.24 | 360 | 0.0204 |
62
+ | 0.0088 | 3.6 | 400 | 0.0203 |
63
 
64
 
65
  ### Framework versions
adapter_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:1535a56e67cd881f05bf9ca3a9321d0fca755430e057c8b749f008ad28e9ad84
3
  size 218196746
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7261e7c4b365f23a200927e8d6ed990b85b5fefc90d2cdddac8155482bf5157a
3
  size 218196746
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7a960b8187a5f41d34634e15f495dbe3b83716e20c1c44964bc24e1072bb7e9d
3
  size 4984
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:33ada51c1eade5ed5e185173891199dc6d2882b96738ef3402b7526ee5d6ecd5
3
  size 4984