Hugging Face's logo

kanishka
/
smolm-autoreg-bpe-seed_111

Text Generation
Transformers
PyTorch
TensorBoard
Safetensors
opt
Generated from Trainer
Inference Endpoints
text-generation-inference
Model card Files Metrics Community
kanishka commited on
Commit
64d8642
•
1 Parent(s): e05efec

Model save

Browse files
Files changed (2) hide show
  1. README.md +13 -13
  2. pytorch_model.bin +1 -1
README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
16
 
17
  This model is a fine-tuned version of [models/smolm-autoreg-bpe-seed_111/config.json](https://huggingface.co/models/smolm-autoreg-bpe-seed_111/config.json) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 2.2867
20
- - Accuracy: 0.5408
21
 
22
  ## Model description
23
 
@@ -49,21 +49,21 @@ The following hyperparameters were used during training:
49
 
50
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
52
- | 5.788 | 1.0 | 826 | 3.1098 | 0.4619 |
53
- | 2.8005 | 2.0 | 1652 | 2.7390 | 0.4978 |
54
- | 2.6207 | 3.0 | 2478 | 2.5681 | 0.5119 |
55
- | 2.4129 | 4.0 | 3304 | 2.4615 | 0.5215 |
56
- | 2.29 | 5.0 | 4130 | 2.3895 | 0.5291 |
57
- | 2.2299 | 6.0 | 4956 | 2.3439 | 0.5337 |
58
- | 2.1559 | 7.0 | 5782 | 2.3176 | 0.5377 |
59
- | 2.1267 | 8.0 | 6608 | 2.3044 | 0.5395 |
60
- | 2.0875 | 9.0 | 7434 | 2.2948 | 0.5402 |
61
- | 2.0613 | 10.0 | 8260 | 2.2867 | 0.5408 |
62
 
63
 
64
  ### Framework versions
65
 
66
  - Transformers 4.32.1
67
- - Pytorch 1.13.1+cu117
68
  - Datasets 2.12.0
69
  - Tokenizers 0.13.3
 
16
 
17
  This model is a fine-tuned version of [models/smolm-autoreg-bpe-seed_111/config.json](https://huggingface.co/models/smolm-autoreg-bpe-seed_111/config.json) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 2.5570
20
+ - Accuracy: 0.4867
21
 
22
  ## Model description
23
 
 
49
 
50
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
51
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
52
+ | 6.078 | 1.0 | 732 | 3.5334 | 0.3945 |
53
+ | 3.4808 | 2.0 | 1464 | 3.1218 | 0.4325 |
54
+ | 2.9363 | 3.0 | 2196 | 2.9134 | 0.4502 |
55
+ | 2.803 | 4.0 | 2928 | 2.7834 | 0.4623 |
56
+ | 2.6112 | 5.0 | 3660 | 2.6977 | 0.4701 |
57
+ | 2.5369 | 6.0 | 4392 | 2.6440 | 0.4760 |
58
+ | 2.4479 | 7.0 | 5124 | 2.6020 | 0.4811 |
59
+ | 2.3999 | 8.0 | 5856 | 2.5810 | 0.4838 |
60
+ | 2.3566 | 9.0 | 6588 | 2.5657 | 0.4858 |
61
+ | 2.3251 | 10.0 | 7320 | 2.5570 | 0.4867 |
62
 
63
 
64
  ### Framework versions
65
 
66
  - Transformers 4.32.1
67
+ - Pytorch 2.0.1+cu117
68
  - Datasets 2.12.0
69
  - Tokenizers 0.13.3
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c16bf417a97069493ee5713d791431e9a196256f684b0e0d30e14f51298ed640
3
  size 33840541
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:31d0efe5ae0d3341417e5e96c4314ecdeb826269c39b7715f55a8c15df9e9f0c
3
  size 33840541