Token Classification
Transformers
Safetensors
privacy_filter
privacy
pii
secrets
code-security
matex
Instructions to use enosislabs/matex-privacy-sentinel-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use enosislabs/matex-privacy-sentinel-v0.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="enosislabs/matex-privacy-sentinel-v0.1")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("enosislabs/matex-privacy-sentinel-v0.1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload matex-privacy-sentinel-v0.1 trained on Modal L40S
Browse files- finetune_summary.json +141 -89
- model.safetensors +1 -1
finetune_summary.json
CHANGED
|
@@ -6,131 +6,183 @@
|
|
| 6 |
},
|
| 7 |
"base_checkpoint": "/root/.opf/privacy_filter",
|
| 8 |
"batch_size": 4,
|
| 9 |
-
"best_epoch":
|
| 10 |
-
"best_metric": 0.
|
| 11 |
"best_metric_name": "validation_loss",
|
| 12 |
"checkpoint_category_version": "v2",
|
| 13 |
"device": "cuda",
|
| 14 |
-
"elapsed_s":
|
| 15 |
"encoding": "o200k_base",
|
| 16 |
"epoch_metrics": [
|
| 17 |
{
|
| 18 |
-
"elapsed_s":
|
| 19 |
"epoch": 1,
|
| 20 |
-
"optimizer_steps":
|
| 21 |
-
"train_batches":
|
| 22 |
-
"train_loss": 0.
|
| 23 |
-
"train_token_accuracy": 0.
|
| 24 |
-
"train_tokens":
|
| 25 |
-
"validation_batches":
|
| 26 |
-
"validation_loss": 0.
|
| 27 |
-
"validation_token_accuracy": 0.
|
| 28 |
-
"validation_tokens":
|
| 29 |
},
|
| 30 |
{
|
| 31 |
-
"elapsed_s":
|
| 32 |
"epoch": 2,
|
| 33 |
-
"optimizer_steps":
|
| 34 |
-
"train_batches":
|
| 35 |
-
"train_loss": 0.
|
| 36 |
-
"train_token_accuracy": 0.
|
| 37 |
-
"train_tokens":
|
| 38 |
-
"validation_batches":
|
| 39 |
-
"validation_loss": 0.
|
| 40 |
-
"validation_token_accuracy": 0.
|
| 41 |
-
"validation_tokens":
|
| 42 |
},
|
| 43 |
{
|
| 44 |
-
"elapsed_s":
|
| 45 |
"epoch": 3,
|
| 46 |
-
"optimizer_steps":
|
| 47 |
-
"train_batches":
|
| 48 |
-
"train_loss": 0.
|
| 49 |
-
"train_token_accuracy": 0.
|
| 50 |
-
"train_tokens":
|
| 51 |
-
"validation_batches":
|
| 52 |
-
"validation_loss": 0.
|
| 53 |
-
"validation_token_accuracy": 0.
|
| 54 |
-
"validation_tokens":
|
| 55 |
},
|
| 56 |
{
|
| 57 |
-
"elapsed_s":
|
| 58 |
"epoch": 4,
|
| 59 |
-
"optimizer_steps":
|
| 60 |
-
"train_batches":
|
| 61 |
-
"train_loss": 0.
|
| 62 |
-
"train_token_accuracy": 0.
|
| 63 |
-
"train_tokens":
|
| 64 |
-
"validation_batches":
|
| 65 |
-
"validation_loss": 0.
|
| 66 |
-
"validation_token_accuracy": 0.
|
| 67 |
-
"validation_tokens":
|
| 68 |
},
|
| 69 |
{
|
| 70 |
-
"elapsed_s":
|
| 71 |
"epoch": 5,
|
| 72 |
-
"optimizer_steps":
|
| 73 |
-
"train_batches":
|
| 74 |
-
"train_loss": 0.
|
| 75 |
-
"train_token_accuracy": 0.
|
| 76 |
-
"train_tokens":
|
| 77 |
-
"validation_batches":
|
| 78 |
-
"validation_loss": 0.
|
| 79 |
-
"validation_token_accuracy": 0.
|
| 80 |
-
"validation_tokens":
|
| 81 |
},
|
| 82 |
{
|
| 83 |
-
"elapsed_s":
|
| 84 |
"epoch": 6,
|
| 85 |
-
"optimizer_steps":
|
| 86 |
-
"train_batches":
|
| 87 |
-
"train_loss": 0.
|
| 88 |
-
"train_token_accuracy": 0.
|
| 89 |
-
"train_tokens":
|
| 90 |
-
"validation_batches":
|
| 91 |
-
"validation_loss": 0.
|
| 92 |
-
"validation_token_accuracy": 0.
|
| 93 |
-
"validation_tokens":
|
| 94 |
},
|
| 95 |
{
|
| 96 |
-
"elapsed_s":
|
| 97 |
"epoch": 7,
|
| 98 |
-
"optimizer_steps":
|
| 99 |
-
"train_batches":
|
| 100 |
-
"train_loss": 0.
|
| 101 |
-
"train_token_accuracy": 0.
|
| 102 |
-
"train_tokens":
|
| 103 |
-
"validation_batches":
|
| 104 |
-
"validation_loss": 0.
|
| 105 |
-
"validation_token_accuracy": 0.
|
| 106 |
-
"validation_tokens":
|
| 107 |
},
|
| 108 |
{
|
| 109 |
-
"elapsed_s":
|
| 110 |
"epoch": 8,
|
| 111 |
-
"optimizer_steps":
|
| 112 |
-
"train_batches":
|
| 113 |
-
"train_loss": 0.
|
| 114 |
-
"train_token_accuracy": 0.
|
| 115 |
-
"train_tokens":
|
| 116 |
-
"validation_batches":
|
| 117 |
-
"validation_loss": 0.
|
| 118 |
-
"validation_token_accuracy": 0.
|
| 119 |
-
"validation_tokens":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 120 |
}
|
| 121 |
],
|
| 122 |
-
"epochs":
|
| 123 |
-
"generated_at_unix":
|
| 124 |
"grad_accum_steps": 1,
|
| 125 |
"label_space_json_path": "/__modal/volumes/vo-1GyZvIAPD7wnYD3s0C2QXS/dataset/configs/custom_label_space.json",
|
| 126 |
"label_space_source": "label-space-json",
|
| 127 |
"learning_rate": 1e-05,
|
| 128 |
"max_grad_norm": 1.0,
|
| 129 |
"num_output_labels": 97,
|
| 130 |
-
"num_train_examples":
|
| 131 |
-
"num_train_windows":
|
| 132 |
-
"num_validation_examples":
|
| 133 |
-
"num_validation_windows":
|
| 134 |
"output_checkpoint_dir": "/__modal/volumes/vo-XIgHS4JYPE8ddRlAcjQTwm/matex-privacy-sentinel-v0.1",
|
| 135 |
"output_head_reinitialized": true,
|
| 136 |
"output_head_rows_copied": 97,
|
|
|
|
| 6 |
},
|
| 7 |
"base_checkpoint": "/root/.opf/privacy_filter",
|
| 8 |
"batch_size": 4,
|
| 9 |
+
"best_epoch": 3,
|
| 10 |
+
"best_metric": 0.10880099386333249,
|
| 11 |
"best_metric_name": "validation_loss",
|
| 12 |
"checkpoint_category_version": "v2",
|
| 13 |
"device": "cuda",
|
| 14 |
+
"elapsed_s": 4243.969272867,
|
| 15 |
"encoding": "o200k_base",
|
| 16 |
"epoch_metrics": [
|
| 17 |
{
|
| 18 |
+
"elapsed_s": 357.860645665,
|
| 19 |
"epoch": 1,
|
| 20 |
+
"optimizer_steps": 4838,
|
| 21 |
+
"train_batches": 4838,
|
| 22 |
+
"train_loss": 0.4229886383246393,
|
| 23 |
+
"train_token_accuracy": 0.897370439303403,
|
| 24 |
+
"train_tokens": 2511294,
|
| 25 |
+
"validation_batches": 269,
|
| 26 |
+
"validation_loss": 0.1392858392746236,
|
| 27 |
+
"validation_token_accuracy": 0.9636879159602899,
|
| 28 |
+
"validation_tokens": 135079
|
| 29 |
},
|
| 30 |
{
|
| 31 |
+
"elapsed_s": 353.5939458099999,
|
| 32 |
"epoch": 2,
|
| 33 |
+
"optimizer_steps": 4838,
|
| 34 |
+
"train_batches": 4838,
|
| 35 |
+
"train_loss": 0.13250755364892783,
|
| 36 |
+
"train_token_accuracy": 0.9689693839112425,
|
| 37 |
+
"train_tokens": 2511294,
|
| 38 |
+
"validation_batches": 269,
|
| 39 |
+
"validation_loss": 0.1134884088340716,
|
| 40 |
+
"validation_token_accuracy": 0.9712168434767803,
|
| 41 |
+
"validation_tokens": 135079
|
| 42 |
},
|
| 43 |
{
|
| 44 |
+
"elapsed_s": 360.95667415800006,
|
| 45 |
"epoch": 3,
|
| 46 |
+
"optimizer_steps": 4838,
|
| 47 |
+
"train_batches": 4838,
|
| 48 |
+
"train_loss": 0.09536114751181902,
|
| 49 |
+
"train_token_accuracy": 0.9772459934997655,
|
| 50 |
+
"train_tokens": 2511294,
|
| 51 |
+
"validation_batches": 269,
|
| 52 |
+
"validation_loss": 0.10880099386333249,
|
| 53 |
+
"validation_token_accuracy": 0.9737042767565647,
|
| 54 |
+
"validation_tokens": 135079
|
| 55 |
},
|
| 56 |
{
|
| 57 |
+
"elapsed_s": 351.6680030719999,
|
| 58 |
"epoch": 4,
|
| 59 |
+
"optimizer_steps": 4838,
|
| 60 |
+
"train_batches": 4838,
|
| 61 |
+
"train_loss": 0.07531491173454984,
|
| 62 |
+
"train_token_accuracy": 0.9822832372474111,
|
| 63 |
+
"train_tokens": 2511294,
|
| 64 |
+
"validation_batches": 269,
|
| 65 |
+
"validation_loss": 0.11094144339923677,
|
| 66 |
+
"validation_token_accuracy": 0.9750664426002561,
|
| 67 |
+
"validation_tokens": 135079
|
| 68 |
},
|
| 69 |
{
|
| 70 |
+
"elapsed_s": 352.70093192599984,
|
| 71 |
"epoch": 5,
|
| 72 |
+
"optimizer_steps": 4838,
|
| 73 |
+
"train_batches": 4838,
|
| 74 |
+
"train_loss": 0.05978634332790929,
|
| 75 |
+
"train_token_accuracy": 0.98627082293033,
|
| 76 |
+
"train_tokens": 2511294,
|
| 77 |
+
"validation_batches": 269,
|
| 78 |
+
"validation_loss": 0.10941513350480378,
|
| 79 |
+
"validation_token_accuracy": 0.9764730268953723,
|
| 80 |
+
"validation_tokens": 135079
|
| 81 |
},
|
| 82 |
{
|
| 83 |
+
"elapsed_s": 352.3479713060001,
|
| 84 |
"epoch": 6,
|
| 85 |
+
"optimizer_steps": 4838,
|
| 86 |
+
"train_batches": 4838,
|
| 87 |
+
"train_loss": 0.04700873986023811,
|
| 88 |
+
"train_token_accuracy": 0.9891004398529204,
|
| 89 |
+
"train_tokens": 2511294,
|
| 90 |
+
"validation_batches": 269,
|
| 91 |
+
"validation_loss": 0.12030725566000045,
|
| 92 |
+
"validation_token_accuracy": 0.9774576359019537,
|
| 93 |
+
"validation_tokens": 135079
|
| 94 |
},
|
| 95 |
{
|
| 96 |
+
"elapsed_s": 350.5779395559998,
|
| 97 |
"epoch": 7,
|
| 98 |
+
"optimizer_steps": 4838,
|
| 99 |
+
"train_batches": 4838,
|
| 100 |
+
"train_loss": 0.037927263294671304,
|
| 101 |
+
"train_token_accuracy": 0.9911675016943456,
|
| 102 |
+
"train_tokens": 2511294,
|
| 103 |
+
"validation_batches": 269,
|
| 104 |
+
"validation_loss": 0.1220005202920702,
|
| 105 |
+
"validation_token_accuracy": 0.9779832542438128,
|
| 106 |
+
"validation_tokens": 135079
|
| 107 |
},
|
| 108 |
{
|
| 109 |
+
"elapsed_s": 352.3893561149998,
|
| 110 |
"epoch": 8,
|
| 111 |
+
"optimizer_steps": 4838,
|
| 112 |
+
"train_batches": 4838,
|
| 113 |
+
"train_loss": 0.030487817015155995,
|
| 114 |
+
"train_token_accuracy": 0.9926989830740646,
|
| 115 |
+
"train_tokens": 2511294,
|
| 116 |
+
"validation_batches": 269,
|
| 117 |
+
"validation_loss": 0.124172292954461,
|
| 118 |
+
"validation_token_accuracy": 0.9795156908179657,
|
| 119 |
+
"validation_tokens": 135079
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"elapsed_s": 351.60098334099985,
|
| 123 |
+
"epoch": 9,
|
| 124 |
+
"optimizer_steps": 4838,
|
| 125 |
+
"train_batches": 4838,
|
| 126 |
+
"train_loss": 0.026497954957400774,
|
| 127 |
+
"train_token_accuracy": 0.9938023982855054,
|
| 128 |
+
"train_tokens": 2511294,
|
| 129 |
+
"validation_batches": 269,
|
| 130 |
+
"validation_loss": 0.12726946480100174,
|
| 131 |
+
"validation_token_accuracy": 0.9797229769246145,
|
| 132 |
+
"validation_tokens": 135079
|
| 133 |
+
},
|
| 134 |
+
{
|
| 135 |
+
"elapsed_s": 351.41817523500004,
|
| 136 |
+
"epoch": 10,
|
| 137 |
+
"optimizer_steps": 4838,
|
| 138 |
+
"train_batches": 4838,
|
| 139 |
+
"train_loss": 0.02143179943208533,
|
| 140 |
+
"train_token_accuracy": 0.9948285624861127,
|
| 141 |
+
"train_tokens": 2511294,
|
| 142 |
+
"validation_batches": 269,
|
| 143 |
+
"validation_loss": 0.13001580377020153,
|
| 144 |
+
"validation_token_accuracy": 0.980448478297885,
|
| 145 |
+
"validation_tokens": 135079
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"elapsed_s": 351.210082735,
|
| 149 |
+
"epoch": 11,
|
| 150 |
+
"optimizer_steps": 4838,
|
| 151 |
+
"train_batches": 4838,
|
| 152 |
+
"train_loss": 0.018372399961305817,
|
| 153 |
+
"train_token_accuracy": 0.9957006228661399,
|
| 154 |
+
"train_tokens": 2511294,
|
| 155 |
+
"validation_batches": 269,
|
| 156 |
+
"validation_loss": 0.13454472581949917,
|
| 157 |
+
"validation_token_accuracy": 0.9798858445798385,
|
| 158 |
+
"validation_tokens": 135079
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"elapsed_s": 350.00989479400005,
|
| 162 |
+
"epoch": 12,
|
| 163 |
+
"optimizer_steps": 4838,
|
| 164 |
+
"train_batches": 4838,
|
| 165 |
+
"train_loss": 0.015427773917966436,
|
| 166 |
+
"train_token_accuracy": 0.9963250021701959,
|
| 167 |
+
"train_tokens": 2511294,
|
| 168 |
+
"validation_batches": 269,
|
| 169 |
+
"validation_loss": 0.1662057355638326,
|
| 170 |
+
"validation_token_accuracy": 0.9783386018552107,
|
| 171 |
+
"validation_tokens": 135079
|
| 172 |
}
|
| 173 |
],
|
| 174 |
+
"epochs": 12,
|
| 175 |
+
"generated_at_unix": 1777765877.1481903,
|
| 176 |
"grad_accum_steps": 1,
|
| 177 |
"label_space_json_path": "/__modal/volumes/vo-1GyZvIAPD7wnYD3s0C2QXS/dataset/configs/custom_label_space.json",
|
| 178 |
"label_space_source": "label-space-json",
|
| 179 |
"learning_rate": 1e-05,
|
| 180 |
"max_grad_norm": 1.0,
|
| 181 |
"num_output_labels": 97,
|
| 182 |
+
"num_train_examples": 19350,
|
| 183 |
+
"num_train_windows": 19350,
|
| 184 |
+
"num_validation_examples": 1075,
|
| 185 |
+
"num_validation_windows": 1075,
|
| 186 |
"output_checkpoint_dir": "/__modal/volumes/vo-XIgHS4JYPE8ddRlAcjQTwm/matex-privacy-sentinel-v0.1",
|
| 187 |
"output_head_reinitialized": true,
|
| 188 |
"output_head_rows_copied": 97,
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2799065896
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d906893be08e9c6af7a9091787d4f42797aa7b9d9cb1bea67deaf16ca102d927
|
| 3 |
size 2799065896
|