Hugging Face's logo

eternis
/
eternis_router_encoder_sft_11Sep

Transformers
Safetensors
Generated from Trainer
Model card Files
xet
 Community
eternis commited on
Commit
d4ce2be
·
verified ·
1 Parent(s): fb1821f

Model save

Browse files
Files changed (2) hide show
  1. README.md +26 -24
  2. model.safetensors +1 -1
README.md CHANGED
@@ -5,21 +5,19 @@ base_model: answerdotai/ModernBERT-base
5
  tags:
6
  - generated_from_trainer
7
  model-index:
8
- - name: eternis_router_encoder_sft_10Sep
9
  results: []
10
  ---
11
 
12
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
  should probably proofread and complete it, then remove this comment. -->
14
 
15
- # eternis_router_encoder_sft_10Sep
16
 
17
  This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 0.6852
20
- - Complexity Accuracy: 0.772
21
- - Model Accuracy: 0.747
22
- - Overall Accuracy: 0.5793
23
 
24
  ## Model description
25
 
@@ -40,33 +38,37 @@ More information needed
40
  The following hyperparameters were used during training:
41
  - learning_rate: 0.0001
42
  - train_batch_size: 32
43
- - eval_batch_size: 32
44
  - seed: 42
45
  - gradient_accumulation_steps: 2
46
  - total_train_batch_size: 64
47
  - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
48
  - lr_scheduler_type: cosine
49
  - lr_scheduler_warmup_ratio: 0.01
50
- - num_epochs: 10
51
 
52
  ### Training results
53
 
54
- | Training Loss | Epoch | Step | Validation Loss | Complexity Accuracy | Model Accuracy | Overall Accuracy |
55
- |:-------------:|:------:|:----:|:---------------:|:-------------------:|:--------------:|:----------------:|
56
- | 0.8284 | 0.6857 | 300 | 0.7391 | 0.7275 | 0.7475 | 0.5437 |
57
- | 0.7657 | 1.3703 | 600 | 0.7173 | 0.7408 | 0.7478 | 0.5515 |
58
- | 0.7398 | 2.0549 | 900 | 0.7099 | 0.7502 | 0.748 | 0.5595 |
59
- | 0.7161 | 2.7406 | 1200 | 0.7037 | 0.7578 | 0.748 | 0.5645 |
60
- | 0.7057 | 3.4251 | 1500 | 0.6973 | 0.7635 | 0.7468 | 0.569 |
61
- | 0.7115 | 4.1097 | 1800 | 0.6927 | 0.764 | 0.748 | 0.5705 |
62
- | 0.7214 | 4.7954 | 2100 | 0.6896 | 0.7672 | 0.7482 | 0.5755 |
63
- | 0.7034 | 5.48 | 2400 | 0.6886 | 0.769 | 0.7472 | 0.5777 |
64
- | 0.6935 | 6.1646 | 2700 | 0.6878 | 0.769 | 0.7478 | 0.577 |
65
- | 0.7055 | 6.8503 | 3000 | 0.6867 | 0.7722 | 0.7465 | 0.5787 |
66
- | 0.6983 | 7.5349 | 3300 | 0.6858 | 0.7728 | 0.7465 | 0.5797 |
67
- | 0.7092 | 8.2194 | 3600 | 0.6849 | 0.774 | 0.747 | 0.5803 |
68
- | 0.697 | 8.9051 | 3900 | 0.6851 | 0.7718 | 0.747 | 0.5787 |
69
- | 0.6989 | 9.5897 | 4200 | 0.6852 | 0.772 | 0.747 | 0.5793 |
 
 
 
 
70
 
71
 
72
  ### Framework versions
 
5
  tags:
6
  - generated_from_trainer
7
  model-index:
8
+ - name: eternis_router_encoder_sft_11Sep
9
  results: []
10
  ---
11
 
12
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
  should probably proofread and complete it, then remove this comment. -->
14
 
15
+ # eternis_router_encoder_sft_11Sep
16
 
17
  This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 0.4944
20
+ - Model Accuracy: 0.7861
 
 
21
 
22
  ## Model description
23
 
 
38
  The following hyperparameters were used during training:
39
  - learning_rate: 0.0001
40
  - train_batch_size: 32
41
+ - eval_batch_size: 64
42
  - seed: 42
43
  - gradient_accumulation_steps: 2
44
  - total_train_batch_size: 64
45
  - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
46
  - lr_scheduler_type: cosine
47
  - lr_scheduler_warmup_ratio: 0.01
48
+ - num_epochs: 20
49
 
50
  ### Training results
51
 
52
+ | Training Loss | Epoch | Step | Validation Loss | Model Accuracy |
53
+ |:-------------:|:-------:|:----:|:---------------:|:--------------:|
54
+ | 0.535 | 1.0602 | 300 | 0.5205 | 0.7730 |
55
+ | 0.5295 | 2.1204 | 600 | 0.5053 | 0.7764 |
56
+ | 0.5166 | 3.1805 | 900 | 0.5038 | 0.7811 |
57
+ | 0.5138 | 4.2407 | 1200 | 0.5009 | 0.7807 |
58
+ | 0.5196 | 5.3009 | 1500 | 0.5048 | 0.7761 |
59
+ | 0.4977 | 6.3611 | 1800 | 0.5034 | 0.7795 |
60
+ | 0.4924 | 7.4212 | 2100 | 0.4970 | 0.7803 |
61
+ | 0.4915 | 8.4814 | 2400 | 0.5084 | 0.7749 |
62
+ | 0.4903 | 9.5416 | 2700 | 0.4960 | 0.7830 |
63
+ | 0.4942 | 10.6018 | 3000 | 0.4945 | 0.7873 |
64
+ | 0.4926 | 11.6619 | 3300 | 0.4955 | 0.7807 |
65
+ | 0.5057 | 12.7221 | 3600 | 0.4929 | 0.7826 |
66
+ | 0.4916 | 13.7823 | 3900 | 0.4939 | 0.7838 |
67
+ | 0.4953 | 14.8425 | 4200 | 0.4948 | 0.7807 |
68
+ | 0.4919 | 15.9027 | 4500 | 0.4947 | 0.7834 |
69
+ | 0.5043 | 16.9628 | 4800 | 0.4944 | 0.7854 |
70
+ | 0.4768 | 18.0212 | 5100 | 0.4944 | 0.7857 |
71
+ | 0.4879 | 19.0814 | 5400 | 0.4944 | 0.7861 |
72
 
73
 
74
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a7d9ce7b2b8e85da888e25daa3015cdcf9df8bc27681206502b3825ad4c0290d
3
  size 597630024
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:661879ea4bb9c1d32439d2fdf8609b0be22b41e47476f0dfa279bf962f5784df
3
  size 597630024