End of training
Browse files- README.md +3 -3
- all_results.json +9 -9
- eval_results.json +5 -5
- runs/Mar08_15-17-04_9da45c1bcf23/events.out.tfevents.1709912800.9da45c1bcf23.91952.1 +3 -0
- train_results.json +5 -5
- trainer_state.json +163 -58
README.md
CHANGED
|
@@ -2,7 +2,7 @@
|
|
| 2 |
tags:
|
| 3 |
- generated_from_trainer
|
| 4 |
datasets:
|
| 5 |
-
- category_cleaning
|
| 6 |
model-index:
|
| 7 |
- name: category_cleaning
|
| 8 |
results: []
|
|
@@ -13,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 13 |
|
| 14 |
# category_cleaning
|
| 15 |
|
| 16 |
-
This model was trained from scratch on the category_cleaning dataset.
|
| 17 |
It achieves the following results on the evaluation set:
|
| 18 |
-
- Loss: 4.
|
| 19 |
|
| 20 |
## Model description
|
| 21 |
|
|
|
|
| 2 |
tags:
|
| 3 |
- generated_from_trainer
|
| 4 |
datasets:
|
| 5 |
+
- Displate/category_cleaning
|
| 6 |
model-index:
|
| 7 |
- name: category_cleaning
|
| 8 |
results: []
|
|
|
|
| 13 |
|
| 14 |
# category_cleaning
|
| 15 |
|
| 16 |
+
This model was trained from scratch on the Displate/category_cleaning dataset.
|
| 17 |
It achieves the following results on the evaluation set:
|
| 18 |
+
- Loss: 4.5536
|
| 19 |
|
| 20 |
## Model description
|
| 21 |
|
all_results.json
CHANGED
|
@@ -1,11 +1,11 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
-
"eval_loss":
|
| 4 |
-
"eval_runtime":
|
| 5 |
-
"eval_samples_per_second":
|
| 6 |
-
"eval_steps_per_second":
|
| 7 |
-
"train_loss":
|
| 8 |
-
"train_runtime":
|
| 9 |
-
"train_samples_per_second":
|
| 10 |
-
"train_steps_per_second":
|
| 11 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 4.553551197052002,
|
| 4 |
+
"eval_runtime": 33.259,
|
| 5 |
+
"eval_samples_per_second": 125.68,
|
| 6 |
+
"eval_steps_per_second": 1.984,
|
| 7 |
+
"train_loss": 2.093686363324016,
|
| 8 |
+
"train_runtime": 1727.448,
|
| 9 |
+
"train_samples_per_second": 43.554,
|
| 10 |
+
"train_steps_per_second": 0.681
|
| 11 |
}
|
eval_results.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
-
"eval_loss":
|
| 4 |
-
"eval_runtime":
|
| 5 |
-
"eval_samples_per_second":
|
| 6 |
-
"eval_steps_per_second":
|
| 7 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"eval_loss": 4.553551197052002,
|
| 4 |
+
"eval_runtime": 33.259,
|
| 5 |
+
"eval_samples_per_second": 125.68,
|
| 6 |
+
"eval_steps_per_second": 1.984
|
| 7 |
}
|
runs/Mar08_15-17-04_9da45c1bcf23/events.out.tfevents.1709912800.9da45c1bcf23.91952.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:db3135caa43ee1cc5af2bc009803fb1ee6113a6fd2c6bfdbd37cf292a751a550
|
| 3 |
+
size 359
|
train_results.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch":
|
| 3 |
-
"train_loss":
|
| 4 |
-
"train_runtime":
|
| 5 |
-
"train_samples_per_second":
|
| 6 |
-
"train_steps_per_second":
|
| 7 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"train_loss": 2.093686363324016,
|
| 4 |
+
"train_runtime": 1727.448,
|
| 5 |
+
"train_samples_per_second": 43.554,
|
| 6 |
+
"train_steps_per_second": 0.681
|
| 7 |
}
|
trainer_state.json
CHANGED
|
@@ -1,89 +1,194 @@
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
-
"epoch":
|
| 5 |
-
"eval_steps":
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
-
"epoch":
|
| 13 |
-
"grad_norm":
|
| 14 |
-
"learning_rate":
|
| 15 |
-
"loss":
|
| 16 |
-
"step":
|
| 17 |
},
|
| 18 |
{
|
| 19 |
-
"epoch":
|
| 20 |
-
"eval_loss":
|
| 21 |
-
"eval_runtime":
|
| 22 |
-
"eval_samples_per_second":
|
| 23 |
-
"eval_steps_per_second":
|
| 24 |
-
"step":
|
| 25 |
},
|
| 26 |
{
|
| 27 |
-
"epoch":
|
| 28 |
-
"grad_norm":
|
| 29 |
-
"learning_rate":
|
| 30 |
-
"loss":
|
| 31 |
-
"step":
|
| 32 |
},
|
| 33 |
{
|
| 34 |
-
"epoch":
|
| 35 |
-
"eval_loss":
|
| 36 |
-
"eval_runtime":
|
| 37 |
-
"eval_samples_per_second":
|
| 38 |
-
"eval_steps_per_second":
|
| 39 |
-
"step":
|
| 40 |
},
|
| 41 |
{
|
| 42 |
-
"epoch":
|
| 43 |
-
"grad_norm":
|
| 44 |
-
"learning_rate":
|
| 45 |
-
"loss":
|
| 46 |
-
"step":
|
| 47 |
},
|
| 48 |
{
|
| 49 |
-
"epoch":
|
| 50 |
-
"eval_loss":
|
| 51 |
-
"eval_runtime":
|
| 52 |
-
"eval_samples_per_second":
|
| 53 |
-
"eval_steps_per_second":
|
| 54 |
-
"step":
|
| 55 |
},
|
| 56 |
{
|
| 57 |
-
"epoch":
|
| 58 |
-
"grad_norm":
|
| 59 |
-
"learning_rate":
|
| 60 |
-
"loss":
|
| 61 |
-
"step":
|
| 62 |
},
|
| 63 |
{
|
| 64 |
-
"epoch":
|
| 65 |
-
"eval_loss":
|
| 66 |
-
"eval_runtime":
|
| 67 |
-
"eval_samples_per_second":
|
| 68 |
-
"eval_steps_per_second":
|
| 69 |
-
"step":
|
| 70 |
},
|
| 71 |
{
|
| 72 |
-
"epoch":
|
| 73 |
-
"
|
| 74 |
-
"
|
| 75 |
-
"
|
| 76 |
-
"
|
| 77 |
-
|
| 78 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 79 |
}
|
| 80 |
],
|
| 81 |
-
"logging_steps":
|
| 82 |
-
"max_steps":
|
| 83 |
"num_input_tokens_seen": 0,
|
| 84 |
-
"num_train_epochs":
|
| 85 |
"save_steps": 500,
|
| 86 |
-
"total_flos":
|
| 87 |
"train_batch_size": 64,
|
| 88 |
"trial_name": null,
|
| 89 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
+
"eval_steps": 100,
|
| 6 |
+
"global_step": 1176,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
+
"epoch": 0.26,
|
| 13 |
+
"grad_norm": 23.253705978393555,
|
| 14 |
+
"learning_rate": 4.5748299319727895e-05,
|
| 15 |
+
"loss": 3.0173,
|
| 16 |
+
"step": 100
|
| 17 |
},
|
| 18 |
{
|
| 19 |
+
"epoch": 0.26,
|
| 20 |
+
"eval_loss": 4.248861312866211,
|
| 21 |
+
"eval_runtime": 33.2541,
|
| 22 |
+
"eval_samples_per_second": 125.699,
|
| 23 |
+
"eval_steps_per_second": 1.985,
|
| 24 |
+
"step": 100
|
| 25 |
},
|
| 26 |
{
|
| 27 |
+
"epoch": 0.51,
|
| 28 |
+
"grad_norm": 24.05482292175293,
|
| 29 |
+
"learning_rate": 4.149659863945579e-05,
|
| 30 |
+
"loss": 2.8146,
|
| 31 |
+
"step": 200
|
| 32 |
},
|
| 33 |
{
|
| 34 |
+
"epoch": 0.51,
|
| 35 |
+
"eval_loss": 4.2605061531066895,
|
| 36 |
+
"eval_runtime": 33.1469,
|
| 37 |
+
"eval_samples_per_second": 126.105,
|
| 38 |
+
"eval_steps_per_second": 1.991,
|
| 39 |
+
"step": 200
|
| 40 |
},
|
| 41 |
{
|
| 42 |
+
"epoch": 0.77,
|
| 43 |
+
"grad_norm": 19.086837768554688,
|
| 44 |
+
"learning_rate": 3.724489795918368e-05,
|
| 45 |
+
"loss": 2.7177,
|
| 46 |
+
"step": 300
|
| 47 |
},
|
| 48 |
{
|
| 49 |
+
"epoch": 0.77,
|
| 50 |
+
"eval_loss": 4.254702091217041,
|
| 51 |
+
"eval_runtime": 33.1625,
|
| 52 |
+
"eval_samples_per_second": 126.046,
|
| 53 |
+
"eval_steps_per_second": 1.99,
|
| 54 |
+
"step": 300
|
| 55 |
},
|
| 56 |
{
|
| 57 |
+
"epoch": 1.02,
|
| 58 |
+
"grad_norm": 19.842321395874023,
|
| 59 |
+
"learning_rate": 3.2993197278911564e-05,
|
| 60 |
+
"loss": 2.6338,
|
| 61 |
+
"step": 400
|
| 62 |
},
|
| 63 |
{
|
| 64 |
+
"epoch": 1.02,
|
| 65 |
+
"eval_loss": 4.386436462402344,
|
| 66 |
+
"eval_runtime": 33.0306,
|
| 67 |
+
"eval_samples_per_second": 126.549,
|
| 68 |
+
"eval_steps_per_second": 1.998,
|
| 69 |
+
"step": 400
|
| 70 |
},
|
| 71 |
{
|
| 72 |
+
"epoch": 1.28,
|
| 73 |
+
"grad_norm": 25.054931640625,
|
| 74 |
+
"learning_rate": 2.8741496598639456e-05,
|
| 75 |
+
"loss": 2.102,
|
| 76 |
+
"step": 500
|
| 77 |
+
},
|
| 78 |
+
{
|
| 79 |
+
"epoch": 1.28,
|
| 80 |
+
"eval_loss": 4.353818893432617,
|
| 81 |
+
"eval_runtime": 32.9823,
|
| 82 |
+
"eval_samples_per_second": 126.734,
|
| 83 |
+
"eval_steps_per_second": 2.001,
|
| 84 |
+
"step": 500
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"epoch": 1.53,
|
| 88 |
+
"grad_norm": 22.865522384643555,
|
| 89 |
+
"learning_rate": 2.448979591836735e-05,
|
| 90 |
+
"loss": 2.1015,
|
| 91 |
+
"step": 600
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"epoch": 1.53,
|
| 95 |
+
"eval_loss": 4.339511871337891,
|
| 96 |
+
"eval_runtime": 33.0575,
|
| 97 |
+
"eval_samples_per_second": 126.446,
|
| 98 |
+
"eval_steps_per_second": 1.997,
|
| 99 |
+
"step": 600
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 1.79,
|
| 103 |
+
"grad_norm": 25.445798873901367,
|
| 104 |
+
"learning_rate": 2.023809523809524e-05,
|
| 105 |
+
"loss": 2.0691,
|
| 106 |
+
"step": 700
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"epoch": 1.79,
|
| 110 |
+
"eval_loss": 4.336267471313477,
|
| 111 |
+
"eval_runtime": 32.9895,
|
| 112 |
+
"eval_samples_per_second": 126.707,
|
| 113 |
+
"eval_steps_per_second": 2.001,
|
| 114 |
+
"step": 700
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 2.04,
|
| 118 |
+
"grad_norm": 22.133098602294922,
|
| 119 |
+
"learning_rate": 1.5986394557823133e-05,
|
| 120 |
+
"loss": 1.9422,
|
| 121 |
+
"step": 800
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 2.04,
|
| 125 |
+
"eval_loss": 4.633069038391113,
|
| 126 |
+
"eval_runtime": 32.9021,
|
| 127 |
+
"eval_samples_per_second": 127.044,
|
| 128 |
+
"eval_steps_per_second": 2.006,
|
| 129 |
+
"step": 800
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 2.3,
|
| 133 |
+
"grad_norm": 31.207412719726562,
|
| 134 |
+
"learning_rate": 1.1734693877551021e-05,
|
| 135 |
+
"loss": 1.4405,
|
| 136 |
+
"step": 900
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 2.3,
|
| 140 |
+
"eval_loss": 4.565266132354736,
|
| 141 |
+
"eval_runtime": 33.1329,
|
| 142 |
+
"eval_samples_per_second": 126.158,
|
| 143 |
+
"eval_steps_per_second": 1.992,
|
| 144 |
+
"step": 900
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 2.55,
|
| 148 |
+
"grad_norm": 19.457901000976562,
|
| 149 |
+
"learning_rate": 7.482993197278912e-06,
|
| 150 |
+
"loss": 1.3896,
|
| 151 |
+
"step": 1000
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"epoch": 2.55,
|
| 155 |
+
"eval_loss": 4.576756477355957,
|
| 156 |
+
"eval_runtime": 33.1251,
|
| 157 |
+
"eval_samples_per_second": 126.188,
|
| 158 |
+
"eval_steps_per_second": 1.992,
|
| 159 |
+
"step": 1000
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 2.81,
|
| 163 |
+
"grad_norm": 20.708255767822266,
|
| 164 |
+
"learning_rate": 3.231292517006803e-06,
|
| 165 |
+
"loss": 1.3735,
|
| 166 |
+
"step": 1100
|
| 167 |
+
},
|
| 168 |
+
{
|
| 169 |
+
"epoch": 2.81,
|
| 170 |
+
"eval_loss": 4.561042308807373,
|
| 171 |
+
"eval_runtime": 33.6147,
|
| 172 |
+
"eval_samples_per_second": 124.35,
|
| 173 |
+
"eval_steps_per_second": 1.963,
|
| 174 |
+
"step": 1100
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 3.0,
|
| 178 |
+
"step": 1176,
|
| 179 |
+
"total_flos": 4376310425967942.0,
|
| 180 |
+
"train_loss": 2.093686363324016,
|
| 181 |
+
"train_runtime": 1727.448,
|
| 182 |
+
"train_samples_per_second": 43.554,
|
| 183 |
+
"train_steps_per_second": 0.681
|
| 184 |
}
|
| 185 |
],
|
| 186 |
+
"logging_steps": 100,
|
| 187 |
+
"max_steps": 1176,
|
| 188 |
"num_input_tokens_seen": 0,
|
| 189 |
+
"num_train_epochs": 3,
|
| 190 |
"save_steps": 500,
|
| 191 |
+
"total_flos": 4376310425967942.0,
|
| 192 |
"train_batch_size": 64,
|
| 193 |
"trial_name": null,
|
| 194 |
"trial_params": null
|