Model save
Browse files- README.md +12 -12
- logs/events.out.tfevents.1760011961.ip-172-31-12-22.10247.0 +2 -2
- model.safetensors +1 -1
- training_artifacts/training_history.csv +11 -11
- training_artifacts/training_history.json +66 -66
- training_artifacts/training_loss.png +2 -2
- training_artifacts/training_metrics.png +2 -2
- training_artifacts/training_summary.json +3 -3
README.md
CHANGED
|
@@ -21,7 +21,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 21 |
|
| 22 |
This model is a fine-tuned version of [DedalusHealthCare/tinybert-mlm-en](https://huggingface.co/DedalusHealthCare/tinybert-mlm-en) on the None dataset.
|
| 23 |
It achieves the following results on the evaluation set:
|
| 24 |
-
- Loss: 0.
|
| 25 |
- Accuracy: 0.9816
|
| 26 |
- F1: 0.0
|
| 27 |
- Precision: 0.0
|
|
@@ -58,17 +58,17 @@ The following hyperparameters were used during training:
|
|
| 58 |
|
| 59 |
### Training results
|
| 60 |
|
| 61 |
-
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1
|
| 62 |
-
|
| 63 |
-
| 0.
|
| 64 |
-
| 0.
|
| 65 |
-
| 0.
|
| 66 |
-
| 0.
|
| 67 |
-
| 0.
|
| 68 |
-
| 0.
|
| 69 |
-
| 0.
|
| 70 |
-
| 0.
|
| 71 |
-
| 0.
|
| 72 |
|
| 73 |
|
| 74 |
### Framework versions
|
|
|
|
| 21 |
|
| 22 |
This model is a fine-tuned version of [DedalusHealthCare/tinybert-mlm-en](https://huggingface.co/DedalusHealthCare/tinybert-mlm-en) on the None dataset.
|
| 23 |
It achieves the following results on the evaluation set:
|
| 24 |
+
- Loss: 0.5007
|
| 25 |
- Accuracy: 0.9816
|
| 26 |
- F1: 0.0
|
| 27 |
- Precision: 0.0
|
|
|
|
| 58 |
|
| 59 |
### Training results
|
| 60 |
|
| 61 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|
| 62 |
+
|:-------------:|:------:|:----:|:---------------:|:--------:|:---:|:---------:|:------:|
|
| 63 |
+
| 0.6651 | 0.2857 | 1 | 0.6412 | 0.9003 | 0.0 | 0.0 | 0.0 |
|
| 64 |
+
| 0.6651 | 0.5714 | 2 | 0.6363 | 0.9239 | 0.0 | 0.0 | 0.0 |
|
| 65 |
+
| 0.6651 | 0.8571 | 3 | 0.6264 | 0.9475 | 0.0 | 0.0 | 0.0 |
|
| 66 |
+
| 0.6651 | 1.1429 | 4 | 0.6125 | 0.9606 | 0.0 | 0.0 | 0.0 |
|
| 67 |
+
| 0.6651 | 1.4286 | 5 | 0.5944 | 0.9685 | 0.0 | 0.0 | 0.0 |
|
| 68 |
+
| 0.6651 | 1.7143 | 6 | 0.5722 | 0.9738 | 0.0 | 0.0 | 0.0 |
|
| 69 |
+
| 0.6651 | 2.0 | 7 | 0.5467 | 0.9790 | 0.0 | 0.0 | 0.0 |
|
| 70 |
+
| 0.6651 | 2.2857 | 8 | 0.5230 | 0.9816 | 0.0 | 0.0 | 0.0 |
|
| 71 |
+
| 0.6651 | 2.5714 | 9 | 0.5007 | 0.9816 | 0.0 | 0.0 | 0.0 |
|
| 72 |
|
| 73 |
|
| 74 |
### Framework versions
|
logs/events.out.tfevents.1760011961.ip-172-31-12-22.10247.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a11e83f00225c05834b318ee327c15a0a7afbf22b06b17388b80551fff119d6c
|
| 3 |
+
size 9913
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 46634832
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c270f4d5425845329b57b5a00429e669c0149bcf21a9e0c8303b71b8aa504852
|
| 3 |
size 46634832
|
training_artifacts/training_history.csv
CHANGED
|
@@ -1,12 +1,12 @@
|
|
| 1 |
loss;grad_norm;learning_rate;epoch;step;eval_loss;eval_accuracy;eval_f1;eval_precision;eval_recall;eval_runtime;eval_samples_per_second;eval_steps_per_second;train_runtime;train_samples_per_second;train_steps_per_second;total_flos;train_loss
|
| 2 |
-
0.
|
| 3 |
-
;;;0.2857142857142857;1;0.
|
| 4 |
-
;;;0.5714285714285714;2;0.
|
| 5 |
-
;;;0.8571428571428571;3;0.
|
| 6 |
-
;;;1.1428571428571428;4;0.
|
| 7 |
-
;;;1.4285714285714286;5;0.
|
| 8 |
-
;;;1.7142857142857144;6;0.
|
| 9 |
-
;;;2.0;7;0.
|
| 10 |
-
;;;2.2857142857142856;8;0.
|
| 11 |
-
;;;2.571428571428571;9;0.
|
| 12 |
-
;;;2.571428571428571;9;;;;;;;;;
|
|
|
|
| 1 |
loss;grad_norm;learning_rate;epoch;step;eval_loss;eval_accuracy;eval_f1;eval_precision;eval_recall;eval_runtime;eval_samples_per_second;eval_steps_per_second;train_runtime;train_samples_per_second;train_steps_per_second;total_flos;train_loss
|
| 2 |
+
0.6651;2.0492517948150635;3.3333333333333333e-06;0.2857142857142857;1;;;;;;;;;;;;;
|
| 3 |
+
;;;0.2857142857142857;1;0.641178548336029;0.9002624671916011;0.0;0.0;0.0;5.428;70.191;4.422;;;;;
|
| 4 |
+
;;;0.5714285714285714;2;0.6362672448158264;0.9238845144356955;0.0;0.0;0.0;5.345;71.282;4.49;;;;;
|
| 5 |
+
;;;0.8571428571428571;3;0.6264415383338928;0.94750656167979;0.0;0.0;0.0;5.2138;73.076;4.603;;;;;
|
| 6 |
+
;;;1.1428571428571428;4;0.6125248074531555;0.9606299212598425;0.0;0.0;0.0;5.2287;72.867;4.59;;;;;
|
| 7 |
+
;;;1.4285714285714286;5;0.5944115519523621;0.968503937007874;0.0;0.0;0.0;5.3131;71.709;4.517;;;;;
|
| 8 |
+
;;;1.7142857142857144;6;0.5722081661224365;0.973753280839895;0.0;0.0;0.0;5.3197;71.62;4.512;;;;;
|
| 9 |
+
;;;2.0;7;0.5467000603675842;0.979002624671916;0.0;0.0;0.0;5.2338;72.796;4.586;;;;;
|
| 10 |
+
;;;2.2857142857142856;8;0.5230435729026794;0.9816272965879265;0.0;0.0;0.0;5.3484;71.237;4.487;;;;;
|
| 11 |
+
;;;2.571428571428571;9;0.5007050633430481;0.9816272965879265;0.0;0.0;0.0;5.4954;69.331;4.367;;;;;
|
| 12 |
+
;;;2.571428571428571;9;;;;;;;;;92.7268;45.726;0.647;2140139840256.0;0.6428146097395155
|
training_artifacts/training_history.json
CHANGED
|
@@ -1,125 +1,125 @@
|
|
| 1 |
[
|
| 2 |
{
|
| 3 |
-
"loss": 0.
|
| 4 |
-
"grad_norm": 2.
|
| 5 |
"learning_rate": 3.3333333333333333e-06,
|
| 6 |
"epoch": 0.2857142857142857,
|
| 7 |
"step": 1
|
| 8 |
},
|
| 9 |
{
|
| 10 |
-
"eval_loss": 0.
|
| 11 |
-
"eval_accuracy": 0.
|
| 12 |
-
"eval_f1": 0.
|
| 13 |
-
"eval_precision": 0.
|
| 14 |
-
"eval_recall":
|
| 15 |
-
"eval_runtime": 5.
|
| 16 |
-
"eval_samples_per_second": 70.
|
| 17 |
-
"eval_steps_per_second": 4.
|
| 18 |
"epoch": 0.2857142857142857,
|
| 19 |
"step": 1
|
| 20 |
},
|
| 21 |
{
|
| 22 |
-
"eval_loss": 0.
|
| 23 |
-
"eval_accuracy": 0.
|
| 24 |
-
"eval_f1": 0.
|
| 25 |
-
"eval_precision": 0.
|
| 26 |
-
"eval_recall":
|
| 27 |
-
"eval_runtime": 5.
|
| 28 |
-
"eval_samples_per_second":
|
| 29 |
-
"eval_steps_per_second": 4.
|
| 30 |
"epoch": 0.5714285714285714,
|
| 31 |
"step": 2
|
| 32 |
},
|
| 33 |
{
|
| 34 |
-
"eval_loss": 0.
|
| 35 |
-
"eval_accuracy": 0.
|
| 36 |
-
"eval_f1": 0.
|
| 37 |
-
"eval_precision": 0.
|
| 38 |
-
"eval_recall":
|
| 39 |
-
"eval_runtime": 5.
|
| 40 |
-
"eval_samples_per_second":
|
| 41 |
-
"eval_steps_per_second": 4.
|
| 42 |
"epoch": 0.8571428571428571,
|
| 43 |
"step": 3
|
| 44 |
},
|
| 45 |
{
|
| 46 |
-
"eval_loss": 0.
|
| 47 |
-
"eval_accuracy": 0.
|
| 48 |
-
"eval_f1": 0.
|
| 49 |
-
"eval_precision": 0.
|
| 50 |
-
"eval_recall": 0.
|
| 51 |
-
"eval_runtime": 5.
|
| 52 |
-
"eval_samples_per_second":
|
| 53 |
-
"eval_steps_per_second": 4.
|
| 54 |
"epoch": 1.1428571428571428,
|
| 55 |
"step": 4
|
| 56 |
},
|
| 57 |
{
|
| 58 |
-
"eval_loss": 0.
|
| 59 |
-
"eval_accuracy": 0.
|
| 60 |
-
"eval_f1": 0.
|
| 61 |
-
"eval_precision": 0.
|
| 62 |
-
"eval_recall": 0.
|
| 63 |
-
"eval_runtime": 5.
|
| 64 |
-
"eval_samples_per_second":
|
| 65 |
-
"eval_steps_per_second": 4.
|
| 66 |
"epoch": 1.4285714285714286,
|
| 67 |
"step": 5
|
| 68 |
},
|
| 69 |
{
|
| 70 |
-
"eval_loss": 0.
|
| 71 |
-
"eval_accuracy": 0.
|
| 72 |
"eval_f1": 0.0,
|
| 73 |
"eval_precision": 0.0,
|
| 74 |
"eval_recall": 0.0,
|
| 75 |
-
"eval_runtime": 5.
|
| 76 |
-
"eval_samples_per_second":
|
| 77 |
-
"eval_steps_per_second": 4.
|
| 78 |
"epoch": 1.7142857142857144,
|
| 79 |
"step": 6
|
| 80 |
},
|
| 81 |
{
|
| 82 |
-
"eval_loss": 0.
|
| 83 |
-
"eval_accuracy": 0.
|
| 84 |
"eval_f1": 0.0,
|
| 85 |
"eval_precision": 0.0,
|
| 86 |
"eval_recall": 0.0,
|
| 87 |
-
"eval_runtime": 5.
|
| 88 |
-
"eval_samples_per_second":
|
| 89 |
-
"eval_steps_per_second": 4.
|
| 90 |
"epoch": 2.0,
|
| 91 |
"step": 7
|
| 92 |
},
|
| 93 |
{
|
| 94 |
-
"eval_loss": 0.
|
| 95 |
-
"eval_accuracy": 0.
|
| 96 |
"eval_f1": 0.0,
|
| 97 |
"eval_precision": 0.0,
|
| 98 |
"eval_recall": 0.0,
|
| 99 |
-
"eval_runtime": 5.
|
| 100 |
-
"eval_samples_per_second":
|
| 101 |
-
"eval_steps_per_second": 4.
|
| 102 |
"epoch": 2.2857142857142856,
|
| 103 |
"step": 8
|
| 104 |
},
|
| 105 |
{
|
| 106 |
-
"eval_loss": 0.
|
| 107 |
"eval_accuracy": 0.9816272965879265,
|
| 108 |
"eval_f1": 0.0,
|
| 109 |
"eval_precision": 0.0,
|
| 110 |
"eval_recall": 0.0,
|
| 111 |
-
"eval_runtime": 5.
|
| 112 |
-
"eval_samples_per_second":
|
| 113 |
-
"eval_steps_per_second": 4.
|
| 114 |
"epoch": 2.571428571428571,
|
| 115 |
"step": 9
|
| 116 |
},
|
| 117 |
{
|
| 118 |
-
"train_runtime":
|
| 119 |
-
"train_samples_per_second":
|
| 120 |
-
"train_steps_per_second": 0.
|
| 121 |
-
"total_flos":
|
| 122 |
-
"train_loss": 0.
|
| 123 |
"epoch": 2.571428571428571,
|
| 124 |
"step": 9
|
| 125 |
}
|
|
|
|
| 1 |
[
|
| 2 |
{
|
| 3 |
+
"loss": 0.6651,
|
| 4 |
+
"grad_norm": 2.0492517948150635,
|
| 5 |
"learning_rate": 3.3333333333333333e-06,
|
| 6 |
"epoch": 0.2857142857142857,
|
| 7 |
"step": 1
|
| 8 |
},
|
| 9 |
{
|
| 10 |
+
"eval_loss": 0.641178548336029,
|
| 11 |
+
"eval_accuracy": 0.9002624671916011,
|
| 12 |
+
"eval_f1": 0.0,
|
| 13 |
+
"eval_precision": 0.0,
|
| 14 |
+
"eval_recall": 0.0,
|
| 15 |
+
"eval_runtime": 5.428,
|
| 16 |
+
"eval_samples_per_second": 70.191,
|
| 17 |
+
"eval_steps_per_second": 4.422,
|
| 18 |
"epoch": 0.2857142857142857,
|
| 19 |
"step": 1
|
| 20 |
},
|
| 21 |
{
|
| 22 |
+
"eval_loss": 0.6362672448158264,
|
| 23 |
+
"eval_accuracy": 0.9238845144356955,
|
| 24 |
+
"eval_f1": 0.0,
|
| 25 |
+
"eval_precision": 0.0,
|
| 26 |
+
"eval_recall": 0.0,
|
| 27 |
+
"eval_runtime": 5.345,
|
| 28 |
+
"eval_samples_per_second": 71.282,
|
| 29 |
+
"eval_steps_per_second": 4.49,
|
| 30 |
"epoch": 0.5714285714285714,
|
| 31 |
"step": 2
|
| 32 |
},
|
| 33 |
{
|
| 34 |
+
"eval_loss": 0.6264415383338928,
|
| 35 |
+
"eval_accuracy": 0.94750656167979,
|
| 36 |
+
"eval_f1": 0.0,
|
| 37 |
+
"eval_precision": 0.0,
|
| 38 |
+
"eval_recall": 0.0,
|
| 39 |
+
"eval_runtime": 5.2138,
|
| 40 |
+
"eval_samples_per_second": 73.076,
|
| 41 |
+
"eval_steps_per_second": 4.603,
|
| 42 |
"epoch": 0.8571428571428571,
|
| 43 |
"step": 3
|
| 44 |
},
|
| 45 |
{
|
| 46 |
+
"eval_loss": 0.6125248074531555,
|
| 47 |
+
"eval_accuracy": 0.9606299212598425,
|
| 48 |
+
"eval_f1": 0.0,
|
| 49 |
+
"eval_precision": 0.0,
|
| 50 |
+
"eval_recall": 0.0,
|
| 51 |
+
"eval_runtime": 5.2287,
|
| 52 |
+
"eval_samples_per_second": 72.867,
|
| 53 |
+
"eval_steps_per_second": 4.59,
|
| 54 |
"epoch": 1.1428571428571428,
|
| 55 |
"step": 4
|
| 56 |
},
|
| 57 |
{
|
| 58 |
+
"eval_loss": 0.5944115519523621,
|
| 59 |
+
"eval_accuracy": 0.968503937007874,
|
| 60 |
+
"eval_f1": 0.0,
|
| 61 |
+
"eval_precision": 0.0,
|
| 62 |
+
"eval_recall": 0.0,
|
| 63 |
+
"eval_runtime": 5.3131,
|
| 64 |
+
"eval_samples_per_second": 71.709,
|
| 65 |
+
"eval_steps_per_second": 4.517,
|
| 66 |
"epoch": 1.4285714285714286,
|
| 67 |
"step": 5
|
| 68 |
},
|
| 69 |
{
|
| 70 |
+
"eval_loss": 0.5722081661224365,
|
| 71 |
+
"eval_accuracy": 0.973753280839895,
|
| 72 |
"eval_f1": 0.0,
|
| 73 |
"eval_precision": 0.0,
|
| 74 |
"eval_recall": 0.0,
|
| 75 |
+
"eval_runtime": 5.3197,
|
| 76 |
+
"eval_samples_per_second": 71.62,
|
| 77 |
+
"eval_steps_per_second": 4.512,
|
| 78 |
"epoch": 1.7142857142857144,
|
| 79 |
"step": 6
|
| 80 |
},
|
| 81 |
{
|
| 82 |
+
"eval_loss": 0.5467000603675842,
|
| 83 |
+
"eval_accuracy": 0.979002624671916,
|
| 84 |
"eval_f1": 0.0,
|
| 85 |
"eval_precision": 0.0,
|
| 86 |
"eval_recall": 0.0,
|
| 87 |
+
"eval_runtime": 5.2338,
|
| 88 |
+
"eval_samples_per_second": 72.796,
|
| 89 |
+
"eval_steps_per_second": 4.586,
|
| 90 |
"epoch": 2.0,
|
| 91 |
"step": 7
|
| 92 |
},
|
| 93 |
{
|
| 94 |
+
"eval_loss": 0.5230435729026794,
|
| 95 |
+
"eval_accuracy": 0.9816272965879265,
|
| 96 |
"eval_f1": 0.0,
|
| 97 |
"eval_precision": 0.0,
|
| 98 |
"eval_recall": 0.0,
|
| 99 |
+
"eval_runtime": 5.3484,
|
| 100 |
+
"eval_samples_per_second": 71.237,
|
| 101 |
+
"eval_steps_per_second": 4.487,
|
| 102 |
"epoch": 2.2857142857142856,
|
| 103 |
"step": 8
|
| 104 |
},
|
| 105 |
{
|
| 106 |
+
"eval_loss": 0.5007050633430481,
|
| 107 |
"eval_accuracy": 0.9816272965879265,
|
| 108 |
"eval_f1": 0.0,
|
| 109 |
"eval_precision": 0.0,
|
| 110 |
"eval_recall": 0.0,
|
| 111 |
+
"eval_runtime": 5.4954,
|
| 112 |
+
"eval_samples_per_second": 69.331,
|
| 113 |
+
"eval_steps_per_second": 4.367,
|
| 114 |
"epoch": 2.571428571428571,
|
| 115 |
"step": 9
|
| 116 |
},
|
| 117 |
{
|
| 118 |
+
"train_runtime": 92.7268,
|
| 119 |
+
"train_samples_per_second": 45.726,
|
| 120 |
+
"train_steps_per_second": 0.647,
|
| 121 |
+
"total_flos": 2140139840256.0,
|
| 122 |
+
"train_loss": 0.6428146097395155,
|
| 123 |
"epoch": 2.571428571428571,
|
| 124 |
"step": 9
|
| 125 |
}
|
training_artifacts/training_loss.png
CHANGED
|
Git LFS Details
|
|
Git LFS Details
|
training_artifacts/training_metrics.png
CHANGED
|
Git LFS Details
|
|
Git LFS Details
|
training_artifacts/training_summary.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"total_epochs": 2.571428571428571,
|
| 3 |
"total_steps": "9",
|
| 4 |
-
"final_train_loss": 0.
|
| 5 |
-
"final_eval_loss": 0.
|
| 6 |
-
"best_eval_loss": 0.
|
| 7 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"total_epochs": 2.571428571428571,
|
| 3 |
"total_steps": "9",
|
| 4 |
+
"final_train_loss": 0.6651,
|
| 5 |
+
"final_eval_loss": 0.5007050633430481,
|
| 6 |
+
"best_eval_loss": 0.5007050633430481
|
| 7 |
}
|