Instructions to use cbrew475/mpnet-metric with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cbrew475/mpnet-metric with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cbrew475/mpnet-metric")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cbrew475/mpnet-metric") model = AutoModelForSequenceClassification.from_pretrained("cbrew475/mpnet-metric", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 200
Browse files- checkpoint-1600/optimizer.pt +1 -1
- checkpoint-1600/pytorch_model.bin +1 -1
- checkpoint-1600/scheduler.pt +1 -1
- checkpoint-1600/trainer_state.json +120 -120
- checkpoint-1600/training_args.bin +1 -1
- checkpoint-200/optimizer.pt +1 -1
- checkpoint-200/pytorch_model.bin +1 -1
- checkpoint-200/scheduler.pt +1 -1
- checkpoint-200/trainer_state.json +15 -15
- checkpoint-200/training_args.bin +1 -1
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
checkpoint-1600/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1762416361
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f99f8fb7c73670d80d8cc6d29ca47a57f7929620b60fffa9c12270693009da1f
|
| 3 |
size 1762416361
|
checkpoint-1600/pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 440628841
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:076fb7da75c7fc9411b439fe9db3b923ea11215fb369ed78288730f8a31d9db6
|
| 3 |
size 440628841
|
checkpoint-1600/scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 623
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:42675db5200e73fa678e06a55ec798b1343886dd432c1c010c01820915b0ff17
|
| 3 |
size 623
|
checkpoint-1600/trainer_state.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 0.
|
| 3 |
-
"best_model_checkpoint": "mpnet-metric/checkpoint-
|
| 4 |
"epoch": 36.36363636363637,
|
| 5 |
"global_step": 1600,
|
| 6 |
"is_hyper_param_search": false,
|
|
@@ -9,196 +9,196 @@
|
|
| 9 |
"log_history": [
|
| 10 |
{
|
| 11 |
"epoch": 2.27,
|
| 12 |
-
"eval_accuracy": 0.
|
| 13 |
-
"eval_f1": 0.
|
| 14 |
-
"eval_loss": 1.
|
| 15 |
-
"eval_matthews_correlation": 0.
|
| 16 |
-
"eval_runtime": 2.
|
| 17 |
-
"eval_samples_per_second":
|
| 18 |
-
"eval_steps_per_second": 9.
|
| 19 |
"step": 100
|
| 20 |
},
|
| 21 |
{
|
| 22 |
"epoch": 4.55,
|
| 23 |
-
"eval_accuracy": 0.
|
| 24 |
-
"eval_f1": 0.
|
| 25 |
-
"eval_loss": 1.
|
| 26 |
-
"eval_matthews_correlation": 0.
|
| 27 |
-
"eval_runtime": 1.
|
| 28 |
-
"eval_samples_per_second":
|
| 29 |
-
"eval_steps_per_second": 10.
|
| 30 |
"step": 200
|
| 31 |
},
|
| 32 |
{
|
| 33 |
"epoch": 6.82,
|
| 34 |
-
"eval_accuracy": 0.
|
| 35 |
-
"eval_f1": 0.
|
| 36 |
-
"eval_loss": 1.
|
| 37 |
-
"eval_matthews_correlation": 0.
|
| 38 |
-
"eval_runtime": 2.
|
| 39 |
-
"eval_samples_per_second":
|
| 40 |
-
"eval_steps_per_second":
|
| 41 |
"step": 300
|
| 42 |
},
|
| 43 |
{
|
| 44 |
"epoch": 9.09,
|
| 45 |
-
"eval_accuracy": 0.
|
| 46 |
-
"eval_f1": 0.
|
| 47 |
-
"eval_loss": 1.
|
| 48 |
-
"eval_matthews_correlation": 0.
|
| 49 |
-
"eval_runtime": 2.
|
| 50 |
-
"eval_samples_per_second":
|
| 51 |
-
"eval_steps_per_second": 9.
|
| 52 |
"step": 400
|
| 53 |
},
|
| 54 |
{
|
| 55 |
"epoch": 11.36,
|
| 56 |
-
"learning_rate":
|
| 57 |
-
"loss": 1.
|
| 58 |
"step": 500
|
| 59 |
},
|
| 60 |
{
|
| 61 |
"epoch": 11.36,
|
| 62 |
-
"eval_accuracy": 0.
|
| 63 |
-
"eval_f1": 0.
|
| 64 |
-
"eval_loss": 1.
|
| 65 |
-
"eval_matthews_correlation": 0.
|
| 66 |
-
"eval_runtime": 2.
|
| 67 |
-
"eval_samples_per_second":
|
| 68 |
-
"eval_steps_per_second": 9.
|
| 69 |
"step": 500
|
| 70 |
},
|
| 71 |
{
|
| 72 |
"epoch": 13.64,
|
| 73 |
-
"eval_accuracy": 0.
|
| 74 |
-
"eval_f1": 0.
|
| 75 |
-
"eval_loss": 1.
|
| 76 |
-
"eval_matthews_correlation": 0.
|
| 77 |
-
"eval_runtime": 2.
|
| 78 |
-
"eval_samples_per_second":
|
| 79 |
-
"eval_steps_per_second":
|
| 80 |
"step": 600
|
| 81 |
},
|
| 82 |
{
|
| 83 |
"epoch": 15.91,
|
| 84 |
-
"eval_accuracy": 0.
|
| 85 |
-
"eval_f1": 0.
|
| 86 |
-
"eval_loss": 1.
|
| 87 |
-
"eval_matthews_correlation": 0.
|
| 88 |
-
"eval_runtime": 2.
|
| 89 |
-
"eval_samples_per_second":
|
| 90 |
-
"eval_steps_per_second": 9.
|
| 91 |
"step": 700
|
| 92 |
},
|
| 93 |
{
|
| 94 |
"epoch": 18.18,
|
| 95 |
-
"eval_accuracy": 0.
|
| 96 |
-
"eval_f1": 0.
|
| 97 |
-
"eval_loss": 1.
|
| 98 |
-
"eval_matthews_correlation": 0.
|
| 99 |
-
"eval_runtime": 2.
|
| 100 |
-
"eval_samples_per_second":
|
| 101 |
-
"eval_steps_per_second": 9.
|
| 102 |
"step": 800
|
| 103 |
},
|
| 104 |
{
|
| 105 |
"epoch": 20.45,
|
| 106 |
-
"eval_accuracy": 0.
|
| 107 |
-
"eval_f1": 0.
|
| 108 |
-
"eval_loss": 1.
|
| 109 |
-
"eval_matthews_correlation": 0.
|
| 110 |
-
"eval_runtime": 2.
|
| 111 |
-
"eval_samples_per_second":
|
| 112 |
-
"eval_steps_per_second": 9.
|
| 113 |
"step": 900
|
| 114 |
},
|
| 115 |
{
|
| 116 |
"epoch": 22.73,
|
| 117 |
-
"learning_rate":
|
| 118 |
-
"loss": 0.
|
| 119 |
"step": 1000
|
| 120 |
},
|
| 121 |
{
|
| 122 |
"epoch": 22.73,
|
| 123 |
-
"eval_accuracy": 0.
|
| 124 |
-
"eval_f1": 0.
|
| 125 |
-
"eval_loss": 1.
|
| 126 |
-
"eval_matthews_correlation": 0.
|
| 127 |
-
"eval_runtime": 2.
|
| 128 |
-
"eval_samples_per_second":
|
| 129 |
-
"eval_steps_per_second": 8.
|
| 130 |
"step": 1000
|
| 131 |
},
|
| 132 |
{
|
| 133 |
"epoch": 25.0,
|
| 134 |
-
"eval_accuracy": 0.
|
| 135 |
-
"eval_f1": 0.
|
| 136 |
-
"eval_loss": 1.
|
| 137 |
-
"eval_matthews_correlation": 0.
|
| 138 |
-
"eval_runtime": 2.
|
| 139 |
-
"eval_samples_per_second":
|
| 140 |
-
"eval_steps_per_second": 9.
|
| 141 |
"step": 1100
|
| 142 |
},
|
| 143 |
{
|
| 144 |
"epoch": 27.27,
|
| 145 |
-
"eval_accuracy": 0.
|
| 146 |
-
"eval_f1": 0.
|
| 147 |
-
"eval_loss": 1.
|
| 148 |
-
"eval_matthews_correlation": 0.
|
| 149 |
-
"eval_runtime": 2.
|
| 150 |
-
"eval_samples_per_second":
|
| 151 |
-
"eval_steps_per_second": 9.
|
| 152 |
"step": 1200
|
| 153 |
},
|
| 154 |
{
|
| 155 |
"epoch": 29.55,
|
| 156 |
-
"eval_accuracy": 0.
|
| 157 |
-
"eval_f1": 0.
|
| 158 |
-
"eval_loss": 1.
|
| 159 |
-
"eval_matthews_correlation": 0.
|
| 160 |
-
"eval_runtime": 2.
|
| 161 |
-
"eval_samples_per_second":
|
| 162 |
-
"eval_steps_per_second":
|
| 163 |
"step": 1300
|
| 164 |
},
|
| 165 |
{
|
| 166 |
"epoch": 31.82,
|
| 167 |
-
"eval_accuracy": 0.
|
| 168 |
-
"eval_f1": 0.
|
| 169 |
-
"eval_loss": 1.
|
| 170 |
-
"eval_matthews_correlation": 0.
|
| 171 |
-
"eval_runtime": 2.
|
| 172 |
-
"eval_samples_per_second":
|
| 173 |
-
"eval_steps_per_second": 9.
|
| 174 |
"step": 1400
|
| 175 |
},
|
| 176 |
{
|
| 177 |
"epoch": 34.09,
|
| 178 |
-
"learning_rate":
|
| 179 |
-
"loss": 0.
|
| 180 |
"step": 1500
|
| 181 |
},
|
| 182 |
{
|
| 183 |
"epoch": 34.09,
|
| 184 |
-
"eval_accuracy": 0.
|
| 185 |
-
"eval_f1": 0.
|
| 186 |
-
"eval_loss": 1.
|
| 187 |
-
"eval_matthews_correlation": 0.
|
| 188 |
-
"eval_runtime": 2.
|
| 189 |
-
"eval_samples_per_second":
|
| 190 |
-
"eval_steps_per_second": 9.
|
| 191 |
"step": 1500
|
| 192 |
},
|
| 193 |
{
|
| 194 |
"epoch": 36.36,
|
| 195 |
-
"eval_accuracy": 0.
|
| 196 |
-
"eval_f1": 0.
|
| 197 |
-
"eval_loss": 1.
|
| 198 |
-
"eval_matthews_correlation": 0.
|
| 199 |
-
"eval_runtime": 2.
|
| 200 |
-
"eval_samples_per_second":
|
| 201 |
-
"eval_steps_per_second": 9.
|
| 202 |
"step": 1600
|
| 203 |
}
|
| 204 |
],
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.9353896103896104,
|
| 3 |
+
"best_model_checkpoint": "mpnet-metric/checkpoint-1200",
|
| 4 |
"epoch": 36.36363636363637,
|
| 5 |
"global_step": 1600,
|
| 6 |
"is_hyper_param_search": false,
|
|
|
|
| 9 |
"log_history": [
|
| 10 |
{
|
| 11 |
"epoch": 2.27,
|
| 12 |
+
"eval_accuracy": 0.8159090909090909,
|
| 13 |
+
"eval_f1": 0.7511226652087337,
|
| 14 |
+
"eval_loss": 1.8484668731689453,
|
| 15 |
+
"eval_matthews_correlation": 0.8141220226006439,
|
| 16 |
+
"eval_runtime": 2.002,
|
| 17 |
+
"eval_samples_per_second": 1538.49,
|
| 18 |
+
"eval_steps_per_second": 9.99,
|
| 19 |
"step": 100
|
| 20 |
},
|
| 21 |
{
|
| 22 |
"epoch": 4.55,
|
| 23 |
+
"eval_accuracy": 0.8551948051948052,
|
| 24 |
+
"eval_f1": 0.8020942917039883,
|
| 25 |
+
"eval_loss": 1.7144999504089355,
|
| 26 |
+
"eval_matthews_correlation": 0.8536409556631633,
|
| 27 |
+
"eval_runtime": 1.9896,
|
| 28 |
+
"eval_samples_per_second": 1548.081,
|
| 29 |
+
"eval_steps_per_second": 10.052,
|
| 30 |
"step": 200
|
| 31 |
},
|
| 32 |
{
|
| 33 |
"epoch": 6.82,
|
| 34 |
+
"eval_accuracy": 0.8941558441558441,
|
| 35 |
+
"eval_f1": 0.8555110496639062,
|
| 36 |
+
"eval_loss": 1.7012308835983276,
|
| 37 |
+
"eval_matthews_correlation": 0.8928022091998309,
|
| 38 |
+
"eval_runtime": 2.0442,
|
| 39 |
+
"eval_samples_per_second": 1506.723,
|
| 40 |
+
"eval_steps_per_second": 9.784,
|
| 41 |
"step": 300
|
| 42 |
},
|
| 43 |
{
|
| 44 |
"epoch": 9.09,
|
| 45 |
+
"eval_accuracy": 0.9103896103896104,
|
| 46 |
+
"eval_f1": 0.8897197560299775,
|
| 47 |
+
"eval_loss": 1.6050169467926025,
|
| 48 |
+
"eval_matthews_correlation": 0.9092143006403555,
|
| 49 |
+
"eval_runtime": 2.1871,
|
| 50 |
+
"eval_samples_per_second": 1408.229,
|
| 51 |
+
"eval_steps_per_second": 9.144,
|
| 52 |
"step": 400
|
| 53 |
},
|
| 54 |
{
|
| 55 |
"epoch": 11.36,
|
| 56 |
+
"learning_rate": 2.7063895051946938e-05,
|
| 57 |
+
"loss": 1.2946,
|
| 58 |
"step": 500
|
| 59 |
},
|
| 60 |
{
|
| 61 |
"epoch": 11.36,
|
| 62 |
+
"eval_accuracy": 0.9201298701298701,
|
| 63 |
+
"eval_f1": 0.9074369761816372,
|
| 64 |
+
"eval_loss": 1.6444977521896362,
|
| 65 |
+
"eval_matthews_correlation": 0.9190647083577843,
|
| 66 |
+
"eval_runtime": 2.0173,
|
| 67 |
+
"eval_samples_per_second": 1526.787,
|
| 68 |
+
"eval_steps_per_second": 9.914,
|
| 69 |
"step": 500
|
| 70 |
},
|
| 71 |
{
|
| 72 |
"epoch": 13.64,
|
| 73 |
+
"eval_accuracy": 0.9211038961038961,
|
| 74 |
+
"eval_f1": 0.9084577913023288,
|
| 75 |
+
"eval_loss": 1.663888692855835,
|
| 76 |
+
"eval_matthews_correlation": 0.9200604781411976,
|
| 77 |
+
"eval_runtime": 2.3853,
|
| 78 |
+
"eval_samples_per_second": 1291.224,
|
| 79 |
+
"eval_steps_per_second": 8.385,
|
| 80 |
"step": 600
|
| 81 |
},
|
| 82 |
{
|
| 83 |
"epoch": 15.91,
|
| 84 |
+
"eval_accuracy": 0.923051948051948,
|
| 85 |
+
"eval_f1": 0.9136896227660865,
|
| 86 |
+
"eval_loss": 1.6868306398391724,
|
| 87 |
+
"eval_matthews_correlation": 0.9220235796156276,
|
| 88 |
+
"eval_runtime": 2.1585,
|
| 89 |
+
"eval_samples_per_second": 1426.921,
|
| 90 |
+
"eval_steps_per_second": 9.266,
|
| 91 |
"step": 700
|
| 92 |
},
|
| 93 |
{
|
| 94 |
"epoch": 18.18,
|
| 95 |
+
"eval_accuracy": 0.9295454545454546,
|
| 96 |
+
"eval_f1": 0.9301664771201281,
|
| 97 |
+
"eval_loss": 1.6475751399993896,
|
| 98 |
+
"eval_matthews_correlation": 0.9285897200356921,
|
| 99 |
+
"eval_runtime": 2.0719,
|
| 100 |
+
"eval_samples_per_second": 1486.591,
|
| 101 |
+
"eval_steps_per_second": 9.653,
|
| 102 |
"step": 800
|
| 103 |
},
|
| 104 |
{
|
| 105 |
"epoch": 20.45,
|
| 106 |
+
"eval_accuracy": 0.9318181818181818,
|
| 107 |
+
"eval_f1": 0.9303464520815973,
|
| 108 |
+
"eval_loss": 1.6600165367126465,
|
| 109 |
+
"eval_matthews_correlation": 0.9308986858617924,
|
| 110 |
+
"eval_runtime": 2.0457,
|
| 111 |
+
"eval_samples_per_second": 1505.575,
|
| 112 |
+
"eval_steps_per_second": 9.776,
|
| 113 |
"step": 900
|
| 114 |
},
|
| 115 |
{
|
| 116 |
"epoch": 22.73,
|
| 117 |
+
"learning_rate": 1.63242541583172e-05,
|
| 118 |
+
"loss": 0.3881,
|
| 119 |
"step": 1000
|
| 120 |
},
|
| 121 |
{
|
| 122 |
"epoch": 22.73,
|
| 123 |
+
"eval_accuracy": 0.9262987012987013,
|
| 124 |
+
"eval_f1": 0.9278296659676756,
|
| 125 |
+
"eval_loss": 1.6724674701690674,
|
| 126 |
+
"eval_matthews_correlation": 0.9253043794901309,
|
| 127 |
+
"eval_runtime": 2.232,
|
| 128 |
+
"eval_samples_per_second": 1379.929,
|
| 129 |
+
"eval_steps_per_second": 8.961,
|
| 130 |
"step": 1000
|
| 131 |
},
|
| 132 |
{
|
| 133 |
"epoch": 25.0,
|
| 134 |
+
"eval_accuracy": 0.9314935064935065,
|
| 135 |
+
"eval_f1": 0.9318825468171268,
|
| 136 |
+
"eval_loss": 1.797305941581726,
|
| 137 |
+
"eval_matthews_correlation": 0.9305766609812194,
|
| 138 |
+
"eval_runtime": 2.1057,
|
| 139 |
+
"eval_samples_per_second": 1462.7,
|
| 140 |
+
"eval_steps_per_second": 9.498,
|
| 141 |
"step": 1100
|
| 142 |
},
|
| 143 |
{
|
| 144 |
"epoch": 27.27,
|
| 145 |
+
"eval_accuracy": 0.9353896103896104,
|
| 146 |
+
"eval_f1": 0.9361728835983955,
|
| 147 |
+
"eval_loss": 1.882063627243042,
|
| 148 |
+
"eval_matthews_correlation": 0.9345315640515132,
|
| 149 |
+
"eval_runtime": 2.0581,
|
| 150 |
+
"eval_samples_per_second": 1496.504,
|
| 151 |
+
"eval_steps_per_second": 9.718,
|
| 152 |
"step": 1200
|
| 153 |
},
|
| 154 |
{
|
| 155 |
"epoch": 29.55,
|
| 156 |
+
"eval_accuracy": 0.9331168831168831,
|
| 157 |
+
"eval_f1": 0.9336367435388829,
|
| 158 |
+
"eval_loss": 1.760854721069336,
|
| 159 |
+
"eval_matthews_correlation": 0.9322178856162862,
|
| 160 |
+
"eval_runtime": 2.3359,
|
| 161 |
+
"eval_samples_per_second": 1318.552,
|
| 162 |
+
"eval_steps_per_second": 8.562,
|
| 163 |
"step": 1300
|
| 164 |
},
|
| 165 |
{
|
| 166 |
"epoch": 31.82,
|
| 167 |
+
"eval_accuracy": 0.9327922077922078,
|
| 168 |
+
"eval_f1": 0.9341097776295038,
|
| 169 |
+
"eval_loss": 1.7718247175216675,
|
| 170 |
+
"eval_matthews_correlation": 0.9318988835488757,
|
| 171 |
+
"eval_runtime": 2.0052,
|
| 172 |
+
"eval_samples_per_second": 1535.974,
|
| 173 |
+
"eval_steps_per_second": 9.974,
|
| 174 |
"step": 1400
|
| 175 |
},
|
| 176 |
{
|
| 177 |
"epoch": 34.09,
|
| 178 |
+
"learning_rate": 5.5846132646874635e-06,
|
| 179 |
+
"loss": 0.0634,
|
| 180 |
"step": 1500
|
| 181 |
},
|
| 182 |
{
|
| 183 |
"epoch": 34.09,
|
| 184 |
+
"eval_accuracy": 0.9331168831168831,
|
| 185 |
+
"eval_f1": 0.9346968268850435,
|
| 186 |
+
"eval_loss": 1.8285932540893555,
|
| 187 |
+
"eval_matthews_correlation": 0.9322186737012743,
|
| 188 |
+
"eval_runtime": 2.0633,
|
| 189 |
+
"eval_samples_per_second": 1492.735,
|
| 190 |
+
"eval_steps_per_second": 9.693,
|
| 191 |
"step": 1500
|
| 192 |
},
|
| 193 |
{
|
| 194 |
"epoch": 36.36,
|
| 195 |
+
"eval_accuracy": 0.9331168831168831,
|
| 196 |
+
"eval_f1": 0.934572295784542,
|
| 197 |
+
"eval_loss": 1.7940177917480469,
|
| 198 |
+
"eval_matthews_correlation": 0.9322119650832548,
|
| 199 |
+
"eval_runtime": 2.0844,
|
| 200 |
+
"eval_samples_per_second": 1477.624,
|
| 201 |
+
"eval_steps_per_second": 9.595,
|
| 202 |
"step": 1600
|
| 203 |
}
|
| 204 |
],
|
checkpoint-1600/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2927
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3631a6250349c3bab25cc9f2945e9f86b3c8bf60eb8f342e5780a42c4164973b
|
| 3 |
size 2927
|
checkpoint-200/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1762415977
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c4657c0b1d01a420e05bfb79980dd195b1c4cc7e3464c93da99b473cc23dbd55
|
| 3 |
size 1762415977
|
checkpoint-200/pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 440628841
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1833164cdbeeee6ad773bdfbb9224c97f830030451c502ac4f76e6994df612b4
|
| 3 |
size 440628841
|
checkpoint-200/scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 623
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:17a4169c08357e4ff184be9f20022428450bb238b1ad55ad31f2c906500bf3b1
|
| 3 |
size 623
|
checkpoint-200/trainer_state.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 0.
|
| 3 |
"best_model_checkpoint": "mpnet-metric/checkpoint-200",
|
| 4 |
"epoch": 4.545454545454545,
|
| 5 |
"global_step": 200,
|
|
@@ -9,24 +9,24 @@
|
|
| 9 |
"log_history": [
|
| 10 |
{
|
| 11 |
"epoch": 2.27,
|
| 12 |
-
"eval_accuracy": 0.
|
| 13 |
-
"eval_f1": 0.
|
| 14 |
-
"eval_loss": 1.
|
| 15 |
-
"eval_matthews_correlation": 0.
|
| 16 |
-
"eval_runtime": 2.
|
| 17 |
-
"eval_samples_per_second":
|
| 18 |
-
"eval_steps_per_second":
|
| 19 |
"step": 100
|
| 20 |
},
|
| 21 |
{
|
| 22 |
"epoch": 4.55,
|
| 23 |
-
"eval_accuracy": 0.
|
| 24 |
-
"eval_f1": 0.
|
| 25 |
-
"eval_loss": 1.
|
| 26 |
-
"eval_matthews_correlation": 0.
|
| 27 |
-
"eval_runtime":
|
| 28 |
-
"eval_samples_per_second":
|
| 29 |
-
"eval_steps_per_second":
|
| 30 |
"step": 200
|
| 31 |
}
|
| 32 |
],
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.9058441558441559,
|
| 3 |
"best_model_checkpoint": "mpnet-metric/checkpoint-200",
|
| 4 |
"epoch": 4.545454545454545,
|
| 5 |
"global_step": 200,
|
|
|
|
| 9 |
"log_history": [
|
| 10 |
{
|
| 11 |
"epoch": 2.27,
|
| 12 |
+
"eval_accuracy": 0.8301948051948052,
|
| 13 |
+
"eval_f1": 0.7627260704091138,
|
| 14 |
+
"eval_loss": 1.6476343870162964,
|
| 15 |
+
"eval_matthews_correlation": 0.8285143618760992,
|
| 16 |
+
"eval_runtime": 2.6998,
|
| 17 |
+
"eval_samples_per_second": 1140.818,
|
| 18 |
+
"eval_steps_per_second": 7.408,
|
| 19 |
"step": 100
|
| 20 |
},
|
| 21 |
{
|
| 22 |
"epoch": 4.55,
|
| 23 |
+
"eval_accuracy": 0.9058441558441559,
|
| 24 |
+
"eval_f1": 0.8795235433431401,
|
| 25 |
+
"eval_loss": 1.5654271841049194,
|
| 26 |
+
"eval_matthews_correlation": 0.9046102502667962,
|
| 27 |
+
"eval_runtime": 2.1212,
|
| 28 |
+
"eval_samples_per_second": 1451.986,
|
| 29 |
+
"eval_steps_per_second": 9.428,
|
| 30 |
"step": 200
|
| 31 |
}
|
| 32 |
],
|
checkpoint-200/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2927
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e2a75618958dd260c02e3f1429d19a584cb19e6d4409f6130f9e2987e8b463c0
|
| 3 |
size 2927
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 440628841
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1833164cdbeeee6ad773bdfbb9224c97f830030451c502ac4f76e6994df612b4
|
| 3 |
size 440628841
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2927
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e2a75618958dd260c02e3f1429d19a584cb19e6d4409f6130f9e2987e8b463c0
|
| 3 |
size 2927
|