End of training
Browse files- README.md +23 -5
- all_results.json +10 -10
- eval_results.json +6 -6
- logs/events.out.tfevents.1744964173.s_005_m.2772371.1 +3 -0
- train_results.json +4 -4
- trainer_state.json +68 -68
README.md
CHANGED
|
@@ -1,14 +1,32 @@
|
|
| 1 |
---
|
| 2 |
library_name: transformers
|
|
|
|
|
|
|
| 3 |
base_model: Hartunka/bert_base_km_5_v1
|
| 4 |
tags:
|
| 5 |
- generated_from_trainer
|
|
|
|
|
|
|
| 6 |
metrics:
|
| 7 |
- matthews_correlation
|
| 8 |
- accuracy
|
| 9 |
model-index:
|
| 10 |
- name: bert_base_km_5_v1_cola
|
| 11 |
-
results:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 12 |
---
|
| 13 |
|
| 14 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -16,11 +34,11 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 16 |
|
| 17 |
# bert_base_km_5_v1_cola
|
| 18 |
|
| 19 |
-
This model is a fine-tuned version of [Hartunka/bert_base_km_5_v1](https://huggingface.co/Hartunka/bert_base_km_5_v1) on
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
-
- Loss: 0.
|
| 22 |
-
- Matthews Correlation: 0.
|
| 23 |
-
- Accuracy: 0.
|
| 24 |
|
| 25 |
## Model description
|
| 26 |
|
|
|
|
| 1 |
---
|
| 2 |
library_name: transformers
|
| 3 |
+
language:
|
| 4 |
+
- en
|
| 5 |
base_model: Hartunka/bert_base_km_5_v1
|
| 6 |
tags:
|
| 7 |
- generated_from_trainer
|
| 8 |
+
datasets:
|
| 9 |
+
- glue
|
| 10 |
metrics:
|
| 11 |
- matthews_correlation
|
| 12 |
- accuracy
|
| 13 |
model-index:
|
| 14 |
- name: bert_base_km_5_v1_cola
|
| 15 |
+
results:
|
| 16 |
+
- task:
|
| 17 |
+
name: Text Classification
|
| 18 |
+
type: text-classification
|
| 19 |
+
dataset:
|
| 20 |
+
name: GLUE COLA
|
| 21 |
+
type: glue
|
| 22 |
+
args: cola
|
| 23 |
+
metrics:
|
| 24 |
+
- name: Matthews Correlation
|
| 25 |
+
type: matthews_correlation
|
| 26 |
+
value: 0.04959298805408078
|
| 27 |
+
- name: Accuracy
|
| 28 |
+
type: accuracy
|
| 29 |
+
value: 0.6874400973320007
|
| 30 |
---
|
| 31 |
|
| 32 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 34 |
|
| 35 |
# bert_base_km_5_v1_cola
|
| 36 |
|
| 37 |
+
This model is a fine-tuned version of [Hartunka/bert_base_km_5_v1](https://huggingface.co/Hartunka/bert_base_km_5_v1) on the GLUE COLA dataset.
|
| 38 |
It achieves the following results on the evaluation set:
|
| 39 |
+
- Loss: 0.6169
|
| 40 |
+
- Matthews Correlation: 0.0496
|
| 41 |
+
- Accuracy: 0.6874
|
| 42 |
|
| 43 |
## Model description
|
| 44 |
|
all_results.json
CHANGED
|
@@ -1,16 +1,16 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 8.0,
|
| 3 |
-
"eval_accuracy": 0.
|
| 4 |
-
"eval_loss": 0.
|
| 5 |
-
"eval_matthews_correlation": 0.
|
| 6 |
-
"eval_runtime": 0.
|
| 7 |
"eval_samples": 1043,
|
| 8 |
-
"eval_samples_per_second":
|
| 9 |
-
"eval_steps_per_second":
|
| 10 |
"total_flos": 8999450537533440.0,
|
| 11 |
-
"train_loss": 0.
|
| 12 |
-
"train_runtime":
|
| 13 |
"train_samples": 8551,
|
| 14 |
-
"train_samples_per_second":
|
| 15 |
-
"train_steps_per_second": 12.
|
| 16 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 8.0,
|
| 3 |
+
"eval_accuracy": 0.6874400973320007,
|
| 4 |
+
"eval_loss": 0.6168506741523743,
|
| 5 |
+
"eval_matthews_correlation": 0.04959298805408078,
|
| 6 |
+
"eval_runtime": 0.7317,
|
| 7 |
"eval_samples": 1043,
|
| 8 |
+
"eval_samples_per_second": 1425.514,
|
| 9 |
+
"eval_steps_per_second": 6.834,
|
| 10 |
"total_flos": 8999450537533440.0,
|
| 11 |
+
"train_loss": 0.47968793616575356,
|
| 12 |
+
"train_runtime": 135.9284,
|
| 13 |
"train_samples": 8551,
|
| 14 |
+
"train_samples_per_second": 3145.406,
|
| 15 |
+
"train_steps_per_second": 12.507
|
| 16 |
}
|
eval_results.json
CHANGED
|
@@ -1,10 +1,10 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 8.0,
|
| 3 |
-
"eval_accuracy": 0.
|
| 4 |
-
"eval_loss": 0.
|
| 5 |
-
"eval_matthews_correlation": 0.
|
| 6 |
-
"eval_runtime": 0.
|
| 7 |
"eval_samples": 1043,
|
| 8 |
-
"eval_samples_per_second":
|
| 9 |
-
"eval_steps_per_second":
|
| 10 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 8.0,
|
| 3 |
+
"eval_accuracy": 0.6874400973320007,
|
| 4 |
+
"eval_loss": 0.6168506741523743,
|
| 5 |
+
"eval_matthews_correlation": 0.04959298805408078,
|
| 6 |
+
"eval_runtime": 0.7317,
|
| 7 |
"eval_samples": 1043,
|
| 8 |
+
"eval_samples_per_second": 1425.514,
|
| 9 |
+
"eval_steps_per_second": 6.834
|
| 10 |
}
|
logs/events.out.tfevents.1744964173.s_005_m.2772371.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:25cb565be9f59fb19e1c8ea6029211079cf1ecfad3a360cfae13a0b8d5a630a5
|
| 3 |
+
size 427
|
train_results.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 8.0,
|
| 3 |
"total_flos": 8999450537533440.0,
|
| 4 |
-
"train_loss": 0.
|
| 5 |
-
"train_runtime":
|
| 6 |
"train_samples": 8551,
|
| 7 |
-
"train_samples_per_second":
|
| 8 |
-
"train_steps_per_second": 12.
|
| 9 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 8.0,
|
| 3 |
"total_flos": 8999450537533440.0,
|
| 4 |
+
"train_loss": 0.47968793616575356,
|
| 5 |
+
"train_runtime": 135.9284,
|
| 6 |
"train_samples": 8551,
|
| 7 |
+
"train_samples_per_second": 3145.406,
|
| 8 |
+
"train_steps_per_second": 12.507
|
| 9 |
}
|
trainer_state.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"best_global_step": 102,
|
| 3 |
-
"best_metric": 0.
|
| 4 |
"best_model_checkpoint": "bert_base_km_5_v1_cola/checkpoint-102",
|
| 5 |
"epoch": 8.0,
|
| 6 |
"eval_steps": 500,
|
|
@@ -11,148 +11,148 @@
|
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"epoch": 1.0,
|
| 14 |
-
"grad_norm":
|
| 15 |
"learning_rate": 4.9e-05,
|
| 16 |
-
"loss": 0.
|
| 17 |
"step": 34
|
| 18 |
},
|
| 19 |
{
|
| 20 |
"epoch": 1.0,
|
| 21 |
-
"eval_accuracy": 0.
|
| 22 |
-
"eval_loss": 0.
|
| 23 |
-
"eval_matthews_correlation": 0.
|
| 24 |
-
"eval_runtime": 0.
|
| 25 |
-
"eval_samples_per_second":
|
| 26 |
-
"eval_steps_per_second": 7.
|
| 27 |
"step": 34
|
| 28 |
},
|
| 29 |
{
|
| 30 |
"epoch": 2.0,
|
| 31 |
-
"grad_norm":
|
| 32 |
"learning_rate": 4.8e-05,
|
| 33 |
-
"loss": 0.
|
| 34 |
"step": 68
|
| 35 |
},
|
| 36 |
{
|
| 37 |
"epoch": 2.0,
|
| 38 |
-
"eval_accuracy": 0.
|
| 39 |
-
"eval_loss": 0.
|
| 40 |
-
"eval_matthews_correlation": 0.
|
| 41 |
-
"eval_runtime": 0.
|
| 42 |
-
"eval_samples_per_second":
|
| 43 |
-
"eval_steps_per_second":
|
| 44 |
"step": 68
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 3.0,
|
| 48 |
-
"grad_norm":
|
| 49 |
"learning_rate": 4.7e-05,
|
| 50 |
-
"loss": 0.
|
| 51 |
"step": 102
|
| 52 |
},
|
| 53 |
{
|
| 54 |
"epoch": 3.0,
|
| 55 |
-
"eval_accuracy": 0.
|
| 56 |
-
"eval_loss": 0.
|
| 57 |
-
"eval_matthews_correlation": 0.
|
| 58 |
-
"eval_runtime": 0.
|
| 59 |
-
"eval_samples_per_second":
|
| 60 |
-
"eval_steps_per_second": 7.
|
| 61 |
"step": 102
|
| 62 |
},
|
| 63 |
{
|
| 64 |
"epoch": 4.0,
|
| 65 |
-
"grad_norm":
|
| 66 |
"learning_rate": 4.600000000000001e-05,
|
| 67 |
-
"loss": 0.
|
| 68 |
"step": 136
|
| 69 |
},
|
| 70 |
{
|
| 71 |
"epoch": 4.0,
|
| 72 |
-
"eval_accuracy": 0.
|
| 73 |
-
"eval_loss": 0.
|
| 74 |
-
"eval_matthews_correlation": 0.
|
| 75 |
-
"eval_runtime": 0.
|
| 76 |
-
"eval_samples_per_second":
|
| 77 |
-
"eval_steps_per_second": 7.
|
| 78 |
"step": 136
|
| 79 |
},
|
| 80 |
{
|
| 81 |
"epoch": 5.0,
|
| 82 |
-
"grad_norm":
|
| 83 |
"learning_rate": 4.5e-05,
|
| 84 |
-
"loss": 0.
|
| 85 |
"step": 170
|
| 86 |
},
|
| 87 |
{
|
| 88 |
"epoch": 5.0,
|
| 89 |
-
"eval_accuracy": 0.
|
| 90 |
-
"eval_loss": 0.
|
| 91 |
-
"eval_matthews_correlation": 0.
|
| 92 |
-
"eval_runtime": 0.
|
| 93 |
-
"eval_samples_per_second":
|
| 94 |
-
"eval_steps_per_second": 7.
|
| 95 |
"step": 170
|
| 96 |
},
|
| 97 |
{
|
| 98 |
"epoch": 6.0,
|
| 99 |
-
"grad_norm":
|
| 100 |
"learning_rate": 4.4000000000000006e-05,
|
| 101 |
-
"loss": 0.
|
| 102 |
"step": 204
|
| 103 |
},
|
| 104 |
{
|
| 105 |
"epoch": 6.0,
|
| 106 |
-
"eval_accuracy": 0.
|
| 107 |
-
"eval_loss": 0.
|
| 108 |
-
"eval_matthews_correlation": 0.
|
| 109 |
-
"eval_runtime": 0.
|
| 110 |
-
"eval_samples_per_second":
|
| 111 |
-
"eval_steps_per_second": 7.
|
| 112 |
"step": 204
|
| 113 |
},
|
| 114 |
{
|
| 115 |
"epoch": 7.0,
|
| 116 |
-
"grad_norm": 2.
|
| 117 |
"learning_rate": 4.3e-05,
|
| 118 |
-
"loss": 0.
|
| 119 |
"step": 238
|
| 120 |
},
|
| 121 |
{
|
| 122 |
"epoch": 7.0,
|
| 123 |
-
"eval_accuracy": 0.
|
| 124 |
-
"eval_loss": 0.
|
| 125 |
-
"eval_matthews_correlation": 0.
|
| 126 |
-
"eval_runtime": 0.
|
| 127 |
-
"eval_samples_per_second":
|
| 128 |
-
"eval_steps_per_second":
|
| 129 |
"step": 238
|
| 130 |
},
|
| 131 |
{
|
| 132 |
"epoch": 8.0,
|
| 133 |
-
"grad_norm":
|
| 134 |
"learning_rate": 4.2e-05,
|
| 135 |
-
"loss": 0.
|
| 136 |
"step": 272
|
| 137 |
},
|
| 138 |
{
|
| 139 |
"epoch": 8.0,
|
| 140 |
"eval_accuracy": 0.6462128758430481,
|
| 141 |
-
"eval_loss": 0.
|
| 142 |
-
"eval_matthews_correlation": 0.
|
| 143 |
-
"eval_runtime": 0.
|
| 144 |
-
"eval_samples_per_second":
|
| 145 |
-
"eval_steps_per_second":
|
| 146 |
"step": 272
|
| 147 |
},
|
| 148 |
{
|
| 149 |
"epoch": 8.0,
|
| 150 |
"step": 272,
|
| 151 |
"total_flos": 8999450537533440.0,
|
| 152 |
-
"train_loss": 0.
|
| 153 |
-
"train_runtime":
|
| 154 |
-
"train_samples_per_second":
|
| 155 |
-
"train_steps_per_second": 12.
|
| 156 |
}
|
| 157 |
],
|
| 158 |
"logging_steps": 1,
|
|
|
|
| 1 |
{
|
| 2 |
"best_global_step": 102,
|
| 3 |
+
"best_metric": 0.6168506741523743,
|
| 4 |
"best_model_checkpoint": "bert_base_km_5_v1_cola/checkpoint-102",
|
| 5 |
"epoch": 8.0,
|
| 6 |
"eval_steps": 500,
|
|
|
|
| 11 |
"log_history": [
|
| 12 |
{
|
| 13 |
"epoch": 1.0,
|
| 14 |
+
"grad_norm": 2.0184812545776367,
|
| 15 |
"learning_rate": 4.9e-05,
|
| 16 |
+
"loss": 0.6154,
|
| 17 |
"step": 34
|
| 18 |
},
|
| 19 |
{
|
| 20 |
"epoch": 1.0,
|
| 21 |
+
"eval_accuracy": 0.6893576383590698,
|
| 22 |
+
"eval_loss": 0.6183784604072571,
|
| 23 |
+
"eval_matthews_correlation": -0.007887379670285008,
|
| 24 |
+
"eval_runtime": 0.6744,
|
| 25 |
+
"eval_samples_per_second": 1546.637,
|
| 26 |
+
"eval_steps_per_second": 7.414,
|
| 27 |
"step": 34
|
| 28 |
},
|
| 29 |
{
|
| 30 |
"epoch": 2.0,
|
| 31 |
+
"grad_norm": 2.073906183242798,
|
| 32 |
"learning_rate": 4.8e-05,
|
| 33 |
+
"loss": 0.5959,
|
| 34 |
"step": 68
|
| 35 |
},
|
| 36 |
{
|
| 37 |
"epoch": 2.0,
|
| 38 |
+
"eval_accuracy": 0.6740172505378723,
|
| 39 |
+
"eval_loss": 0.6171430349349976,
|
| 40 |
+
"eval_matthews_correlation": 0.005476740094736749,
|
| 41 |
+
"eval_runtime": 0.7236,
|
| 42 |
+
"eval_samples_per_second": 1441.409,
|
| 43 |
+
"eval_steps_per_second": 6.91,
|
| 44 |
"step": 68
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 3.0,
|
| 48 |
+
"grad_norm": 1.9242302179336548,
|
| 49 |
"learning_rate": 4.7e-05,
|
| 50 |
+
"loss": 0.5583,
|
| 51 |
"step": 102
|
| 52 |
},
|
| 53 |
{
|
| 54 |
"epoch": 3.0,
|
| 55 |
+
"eval_accuracy": 0.6874400973320007,
|
| 56 |
+
"eval_loss": 0.6168506741523743,
|
| 57 |
+
"eval_matthews_correlation": 0.04959298805408078,
|
| 58 |
+
"eval_runtime": 0.6807,
|
| 59 |
+
"eval_samples_per_second": 1532.323,
|
| 60 |
+
"eval_steps_per_second": 7.346,
|
| 61 |
"step": 102
|
| 62 |
},
|
| 63 |
{
|
| 64 |
"epoch": 4.0,
|
| 65 |
+
"grad_norm": 3.0941638946533203,
|
| 66 |
"learning_rate": 4.600000000000001e-05,
|
| 67 |
+
"loss": 0.5145,
|
| 68 |
"step": 136
|
| 69 |
},
|
| 70 |
{
|
| 71 |
"epoch": 4.0,
|
| 72 |
+
"eval_accuracy": 0.6634707450866699,
|
| 73 |
+
"eval_loss": 0.6423744559288025,
|
| 74 |
+
"eval_matthews_correlation": 0.09532212745017962,
|
| 75 |
+
"eval_runtime": 0.6687,
|
| 76 |
+
"eval_samples_per_second": 1559.856,
|
| 77 |
+
"eval_steps_per_second": 7.478,
|
| 78 |
"step": 136
|
| 79 |
},
|
| 80 |
{
|
| 81 |
"epoch": 5.0,
|
| 82 |
+
"grad_norm": 2.465773105621338,
|
| 83 |
"learning_rate": 4.5e-05,
|
| 84 |
+
"loss": 0.4591,
|
| 85 |
"step": 170
|
| 86 |
},
|
| 87 |
{
|
| 88 |
"epoch": 5.0,
|
| 89 |
+
"eval_accuracy": 0.6490891575813293,
|
| 90 |
+
"eval_loss": 0.6875084638595581,
|
| 91 |
+
"eval_matthews_correlation": 0.09892672481640027,
|
| 92 |
+
"eval_runtime": 0.6908,
|
| 93 |
+
"eval_samples_per_second": 1509.867,
|
| 94 |
+
"eval_steps_per_second": 7.238,
|
| 95 |
"step": 170
|
| 96 |
},
|
| 97 |
{
|
| 98 |
"epoch": 6.0,
|
| 99 |
+
"grad_norm": 4.0577287673950195,
|
| 100 |
"learning_rate": 4.4000000000000006e-05,
|
| 101 |
+
"loss": 0.412,
|
| 102 |
"step": 204
|
| 103 |
},
|
| 104 |
{
|
| 105 |
"epoch": 6.0,
|
| 106 |
+
"eval_accuracy": 0.6308724880218506,
|
| 107 |
+
"eval_loss": 0.7450611591339111,
|
| 108 |
+
"eval_matthews_correlation": 0.06511003868382283,
|
| 109 |
+
"eval_runtime": 0.6768,
|
| 110 |
+
"eval_samples_per_second": 1541.14,
|
| 111 |
+
"eval_steps_per_second": 7.388,
|
| 112 |
"step": 204
|
| 113 |
},
|
| 114 |
{
|
| 115 |
"epoch": 7.0,
|
| 116 |
+
"grad_norm": 2.787646532058716,
|
| 117 |
"learning_rate": 4.3e-05,
|
| 118 |
+
"loss": 0.3633,
|
| 119 |
"step": 238
|
| 120 |
},
|
| 121 |
{
|
| 122 |
"epoch": 7.0,
|
| 123 |
+
"eval_accuracy": 0.6203259825706482,
|
| 124 |
+
"eval_loss": 0.7966165542602539,
|
| 125 |
+
"eval_matthews_correlation": 0.10894429086010696,
|
| 126 |
+
"eval_runtime": 0.6801,
|
| 127 |
+
"eval_samples_per_second": 1533.561,
|
| 128 |
+
"eval_steps_per_second": 7.352,
|
| 129 |
"step": 238
|
| 130 |
},
|
| 131 |
{
|
| 132 |
"epoch": 8.0,
|
| 133 |
+
"grad_norm": 3.5457634925842285,
|
| 134 |
"learning_rate": 4.2e-05,
|
| 135 |
+
"loss": 0.3189,
|
| 136 |
"step": 272
|
| 137 |
},
|
| 138 |
{
|
| 139 |
"epoch": 8.0,
|
| 140 |
"eval_accuracy": 0.6462128758430481,
|
| 141 |
+
"eval_loss": 0.8535791635513306,
|
| 142 |
+
"eval_matthews_correlation": 0.10018630520281055,
|
| 143 |
+
"eval_runtime": 0.7183,
|
| 144 |
+
"eval_samples_per_second": 1452.028,
|
| 145 |
+
"eval_steps_per_second": 6.961,
|
| 146 |
"step": 272
|
| 147 |
},
|
| 148 |
{
|
| 149 |
"epoch": 8.0,
|
| 150 |
"step": 272,
|
| 151 |
"total_flos": 8999450537533440.0,
|
| 152 |
+
"train_loss": 0.47968793616575356,
|
| 153 |
+
"train_runtime": 135.9284,
|
| 154 |
+
"train_samples_per_second": 3145.406,
|
| 155 |
+
"train_steps_per_second": 12.507
|
| 156 |
}
|
| 157 |
],
|
| 158 |
"logging_steps": 1,
|