Commit
•
423f592
1
Parent(s):
325c989
Training in progress, step 5500, checkpoint
Browse files
checkpoint-5500/config.json
ADDED
|
@@ -0,0 +1,92 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "nvidia/mit-b5",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"SegformerForSemanticSegmentation"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.0,
|
| 7 |
+
"classifier_dropout_prob": 0.1,
|
| 8 |
+
"decoder_hidden_size": 768,
|
| 9 |
+
"depths": [
|
| 10 |
+
3,
|
| 11 |
+
6,
|
| 12 |
+
40,
|
| 13 |
+
3
|
| 14 |
+
],
|
| 15 |
+
"downsampling_rates": [
|
| 16 |
+
1,
|
| 17 |
+
4,
|
| 18 |
+
8,
|
| 19 |
+
16
|
| 20 |
+
],
|
| 21 |
+
"drop_path_rate": 0.1,
|
| 22 |
+
"hidden_act": "gelu",
|
| 23 |
+
"hidden_dropout_prob": 0.0,
|
| 24 |
+
"hidden_sizes": [
|
| 25 |
+
64,
|
| 26 |
+
128,
|
| 27 |
+
320,
|
| 28 |
+
512
|
| 29 |
+
],
|
| 30 |
+
"id2label": {
|
| 31 |
+
"0": "background",
|
| 32 |
+
"1": "double_plant",
|
| 33 |
+
"2": "drydown",
|
| 34 |
+
"3": "endrow",
|
| 35 |
+
"4": "nutrient_deficiency",
|
| 36 |
+
"5": "planter_skip",
|
| 37 |
+
"6": "water",
|
| 38 |
+
"7": "waterway",
|
| 39 |
+
"8": "weed_cluster"
|
| 40 |
+
},
|
| 41 |
+
"image_size": 224,
|
| 42 |
+
"initializer_range": 0.02,
|
| 43 |
+
"label2id": {
|
| 44 |
+
"background": 0,
|
| 45 |
+
"double_plant": 1,
|
| 46 |
+
"drydown": 2,
|
| 47 |
+
"endrow": 3,
|
| 48 |
+
"nutrient_deficiency": 4,
|
| 49 |
+
"planter_skip": 5,
|
| 50 |
+
"water": 6,
|
| 51 |
+
"waterway": 7,
|
| 52 |
+
"weed_cluster": 8
|
| 53 |
+
},
|
| 54 |
+
"layer_norm_eps": 1e-06,
|
| 55 |
+
"mlp_ratios": [
|
| 56 |
+
4,
|
| 57 |
+
4,
|
| 58 |
+
4,
|
| 59 |
+
4
|
| 60 |
+
],
|
| 61 |
+
"model_type": "segformer",
|
| 62 |
+
"num_attention_heads": [
|
| 63 |
+
1,
|
| 64 |
+
2,
|
| 65 |
+
5,
|
| 66 |
+
8
|
| 67 |
+
],
|
| 68 |
+
"num_channels": 4,
|
| 69 |
+
"num_encoder_blocks": 4,
|
| 70 |
+
"patch_sizes": [
|
| 71 |
+
7,
|
| 72 |
+
3,
|
| 73 |
+
3,
|
| 74 |
+
3
|
| 75 |
+
],
|
| 76 |
+
"reshape_last_stage": true,
|
| 77 |
+
"semantic_loss_ignore_index": 255,
|
| 78 |
+
"sr_ratios": [
|
| 79 |
+
8,
|
| 80 |
+
4,
|
| 81 |
+
2,
|
| 82 |
+
1
|
| 83 |
+
],
|
| 84 |
+
"strides": [
|
| 85 |
+
4,
|
| 86 |
+
2,
|
| 87 |
+
2,
|
| 88 |
+
2
|
| 89 |
+
],
|
| 90 |
+
"torch_dtype": "float32",
|
| 91 |
+
"transformers_version": "4.40.2"
|
| 92 |
+
}
|
checkpoint-5500/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:50352a43f346f8eb8e7a9aa7fea695a0ef11ec8a584104378099b744c257c3e8
|
| 3 |
+
size 338562516
|
checkpoint-5500/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cdf6b9da8996e445f2299f6174d615c033516fbc4cf8b8cdc822cdd8213d79a7
|
| 3 |
+
size 677518143
|
checkpoint-5500/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9f0ea3ad5c4c6746e4530be286eb1d8b53d0e14e57d12a1b2f645a61bf1fd4cf
|
| 3 |
+
size 14575
|
checkpoint-5500/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:98a6c950c80c3cf8bb641af6e9c63433c845a58f06dcc69848aa0c17374ab83c
|
| 3 |
+
size 563
|
checkpoint-5500/trainer_state.json
ADDED
|
@@ -0,0 +1,417 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.9166666666666666,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 5500,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.08333333333333333,
|
| 13 |
+
"grad_norm": 10.64107608795166,
|
| 14 |
+
"learning_rate": 2.4999999999999998e-06,
|
| 15 |
+
"loss": 4.1627,
|
| 16 |
+
"step": 500
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.08333333333333333,
|
| 20 |
+
"eval_accuracy_background": 0.014990974836900402,
|
| 21 |
+
"eval_accuracy_double_plant": 0.09625850817128659,
|
| 22 |
+
"eval_accuracy_drydown": 0.11748866381009407,
|
| 23 |
+
"eval_accuracy_endrow": 0.019624906998737878,
|
| 24 |
+
"eval_accuracy_nutrient_deficiency": 0.39043216558572647,
|
| 25 |
+
"eval_accuracy_planter_skip": 0.03244089779472675,
|
| 26 |
+
"eval_accuracy_water": 0.4902746667077927,
|
| 27 |
+
"eval_accuracy_waterway": 0.37818186421979577,
|
| 28 |
+
"eval_accuracy_weed_cluster": 0.5157577782392276,
|
| 29 |
+
"eval_iou_background": 0.01485215844086368,
|
| 30 |
+
"eval_iou_double_plant": 0.025830652956995166,
|
| 31 |
+
"eval_iou_drydown": 0.09098524126821965,
|
| 32 |
+
"eval_iou_endrow": 0.011190399377301194,
|
| 33 |
+
"eval_iou_nutrient_deficiency": 0.16172838363740288,
|
| 34 |
+
"eval_iou_planter_skip": 0.007145844854739052,
|
| 35 |
+
"eval_iou_water": 0.052629358314533047,
|
| 36 |
+
"eval_iou_waterway": 0.008009602169192399,
|
| 37 |
+
"eval_iou_weed_cluster": 0.055193229922437775,
|
| 38 |
+
"eval_loss": 3.9555599689483643,
|
| 39 |
+
"eval_mean_accuracy": 0.22838338070714315,
|
| 40 |
+
"eval_mean_iou": 0.047507207882409426,
|
| 41 |
+
"eval_overall_accuracy": 0.09656532361323403,
|
| 42 |
+
"eval_runtime": 348.036,
|
| 43 |
+
"eval_samples_per_second": 8.166,
|
| 44 |
+
"eval_steps_per_second": 2.724,
|
| 45 |
+
"step": 500
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.16666666666666666,
|
| 49 |
+
"grad_norm": 12.677851676940918,
|
| 50 |
+
"learning_rate": 4.9999999999999996e-06,
|
| 51 |
+
"loss": 3.7698,
|
| 52 |
+
"step": 1000
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.16666666666666666,
|
| 56 |
+
"eval_accuracy_background": 0.29766305371935275,
|
| 57 |
+
"eval_accuracy_double_plant": 0.04300475016987658,
|
| 58 |
+
"eval_accuracy_drydown": 0.7567223885695242,
|
| 59 |
+
"eval_accuracy_endrow": 0.006538411852764754,
|
| 60 |
+
"eval_accuracy_nutrient_deficiency": 0.5373960102281351,
|
| 61 |
+
"eval_accuracy_planter_skip": 0.1493345947032268,
|
| 62 |
+
"eval_accuracy_water": 0.2900425128140623,
|
| 63 |
+
"eval_accuracy_waterway": 0.37062750835043584,
|
| 64 |
+
"eval_accuracy_weed_cluster": 0.242435460451953,
|
| 65 |
+
"eval_iou_background": 0.2681855463534359,
|
| 66 |
+
"eval_iou_double_plant": 0.02937987848319999,
|
| 67 |
+
"eval_iou_drydown": 0.30192234804386486,
|
| 68 |
+
"eval_iou_endrow": 0.006310524335748097,
|
| 69 |
+
"eval_iou_nutrient_deficiency": 0.19394253102070813,
|
| 70 |
+
"eval_iou_planter_skip": 0.08231306246610917,
|
| 71 |
+
"eval_iou_water": 0.10160883330705332,
|
| 72 |
+
"eval_iou_waterway": 0.050415164283578985,
|
| 73 |
+
"eval_iou_weed_cluster": 0.07122746911823011,
|
| 74 |
+
"eval_loss": 3.33693528175354,
|
| 75 |
+
"eval_mean_accuracy": 0.29930718787325905,
|
| 76 |
+
"eval_mean_iou": 0.12281170637910319,
|
| 77 |
+
"eval_overall_accuracy": 0.37769782397579943,
|
| 78 |
+
"eval_runtime": 260.2627,
|
| 79 |
+
"eval_samples_per_second": 10.92,
|
| 80 |
+
"eval_steps_per_second": 3.642,
|
| 81 |
+
"step": 1000
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 0.25,
|
| 85 |
+
"grad_norm": 12.100262641906738,
|
| 86 |
+
"learning_rate": 7.5e-06,
|
| 87 |
+
"loss": 3.2674,
|
| 88 |
+
"step": 1500
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 0.25,
|
| 92 |
+
"eval_accuracy_background": 0.48419612667845113,
|
| 93 |
+
"eval_accuracy_double_plant": 0.013344873041957285,
|
| 94 |
+
"eval_accuracy_drydown": 0.8872887901430043,
|
| 95 |
+
"eval_accuracy_endrow": 0.015151865793565866,
|
| 96 |
+
"eval_accuracy_nutrient_deficiency": 0.37784363150955347,
|
| 97 |
+
"eval_accuracy_planter_skip": 0.1236399017700026,
|
| 98 |
+
"eval_accuracy_water": 0.6308252089425159,
|
| 99 |
+
"eval_accuracy_waterway": 0.4153131997350911,
|
| 100 |
+
"eval_accuracy_weed_cluster": 0.2533755890828509,
|
| 101 |
+
"eval_iou_background": 0.4220656310747218,
|
| 102 |
+
"eval_iou_double_plant": 0.012970922185309422,
|
| 103 |
+
"eval_iou_drydown": 0.3650381802310761,
|
| 104 |
+
"eval_iou_endrow": 0.014768985148023165,
|
| 105 |
+
"eval_iou_nutrient_deficiency": 0.20002194862446826,
|
| 106 |
+
"eval_iou_planter_skip": 0.09927397940127604,
|
| 107 |
+
"eval_iou_water": 0.27391064172674834,
|
| 108 |
+
"eval_iou_waterway": 0.10636423788784055,
|
| 109 |
+
"eval_iou_weed_cluster": 0.10586226367786514,
|
| 110 |
+
"eval_loss": 2.763476610183716,
|
| 111 |
+
"eval_mean_accuracy": 0.3556643540774437,
|
| 112 |
+
"eval_mean_iou": 0.17780853221748097,
|
| 113 |
+
"eval_overall_accuracy": 0.5152837603493446,
|
| 114 |
+
"eval_runtime": 258.1136,
|
| 115 |
+
"eval_samples_per_second": 11.011,
|
| 116 |
+
"eval_steps_per_second": 3.673,
|
| 117 |
+
"step": 1500
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 0.3333333333333333,
|
| 121 |
+
"grad_norm": 13.388419151306152,
|
| 122 |
+
"learning_rate": 9.999999999999999e-06,
|
| 123 |
+
"loss": 2.8338,
|
| 124 |
+
"step": 2000
|
| 125 |
+
},
|
| 126 |
+
{
|
| 127 |
+
"epoch": 0.3333333333333333,
|
| 128 |
+
"eval_accuracy_background": 0.6007479203520831,
|
| 129 |
+
"eval_accuracy_double_plant": 0.09356295249957611,
|
| 130 |
+
"eval_accuracy_drydown": 0.8340823867683501,
|
| 131 |
+
"eval_accuracy_endrow": 0.0035413015410058713,
|
| 132 |
+
"eval_accuracy_nutrient_deficiency": 0.44282241132222916,
|
| 133 |
+
"eval_accuracy_planter_skip": 0.11649665949385082,
|
| 134 |
+
"eval_accuracy_water": 0.921699186070695,
|
| 135 |
+
"eval_accuracy_waterway": 0.20547725725890914,
|
| 136 |
+
"eval_accuracy_weed_cluster": 0.3415216522793772,
|
| 137 |
+
"eval_iou_background": 0.5156964205169746,
|
| 138 |
+
"eval_iou_double_plant": 0.07643992513295463,
|
| 139 |
+
"eval_iou_drydown": 0.4276993634847662,
|
| 140 |
+
"eval_iou_endrow": 0.0035320673127108605,
|
| 141 |
+
"eval_iou_nutrient_deficiency": 0.23942297475711152,
|
| 142 |
+
"eval_iou_planter_skip": 0.09915967157890872,
|
| 143 |
+
"eval_iou_water": 0.37311176318003697,
|
| 144 |
+
"eval_iou_waterway": 0.1337041070891874,
|
| 145 |
+
"eval_iou_weed_cluster": 0.17456818424609255,
|
| 146 |
+
"eval_loss": 2.2476296424865723,
|
| 147 |
+
"eval_mean_accuracy": 0.39555019195400853,
|
| 148 |
+
"eval_mean_iou": 0.22703716414430483,
|
| 149 |
+
"eval_overall_accuracy": 0.6012494768590696,
|
| 150 |
+
"eval_runtime": 261.9728,
|
| 151 |
+
"eval_samples_per_second": 10.848,
|
| 152 |
+
"eval_steps_per_second": 3.619,
|
| 153 |
+
"step": 2000
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 0.4166666666666667,
|
| 157 |
+
"grad_norm": 31.341535568237305,
|
| 158 |
+
"learning_rate": 1.25e-05,
|
| 159 |
+
"loss": 2.5604,
|
| 160 |
+
"step": 2500
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"epoch": 0.4166666666666667,
|
| 164 |
+
"eval_accuracy_background": 0.7311239150003357,
|
| 165 |
+
"eval_accuracy_double_plant": 0.18906004388106473,
|
| 166 |
+
"eval_accuracy_drydown": 0.7049642054247133,
|
| 167 |
+
"eval_accuracy_endrow": 0.03270138529568011,
|
| 168 |
+
"eval_accuracy_nutrient_deficiency": 0.2058331492617626,
|
| 169 |
+
"eval_accuracy_planter_skip": 0.07169662420163618,
|
| 170 |
+
"eval_accuracy_water": 0.9476640149608306,
|
| 171 |
+
"eval_accuracy_waterway": 0.4427819971981128,
|
| 172 |
+
"eval_accuracy_weed_cluster": 0.38249564148248877,
|
| 173 |
+
"eval_iou_background": 0.5934145085795158,
|
| 174 |
+
"eval_iou_double_plant": 0.10950501729968068,
|
| 175 |
+
"eval_iou_drydown": 0.42479480844402817,
|
| 176 |
+
"eval_iou_endrow": 0.030470447854384766,
|
| 177 |
+
"eval_iou_nutrient_deficiency": 0.16681197423835636,
|
| 178 |
+
"eval_iou_planter_skip": 0.06706541524720425,
|
| 179 |
+
"eval_iou_water": 0.36387793500767635,
|
| 180 |
+
"eval_iou_waterway": 0.19571015933545038,
|
| 181 |
+
"eval_iou_weed_cluster": 0.22406855402046205,
|
| 182 |
+
"eval_loss": 2.0893733501434326,
|
| 183 |
+
"eval_mean_accuracy": 0.41203566407851394,
|
| 184 |
+
"eval_mean_iou": 0.24174653555852876,
|
| 185 |
+
"eval_overall_accuracy": 0.6543493727987272,
|
| 186 |
+
"eval_runtime": 259.8765,
|
| 187 |
+
"eval_samples_per_second": 10.936,
|
| 188 |
+
"eval_steps_per_second": 3.648,
|
| 189 |
+
"step": 2500
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 0.5,
|
| 193 |
+
"grad_norm": 22.26491928100586,
|
| 194 |
+
"learning_rate": 1.5e-05,
|
| 195 |
+
"loss": 2.4032,
|
| 196 |
+
"step": 3000
|
| 197 |
+
},
|
| 198 |
+
{
|
| 199 |
+
"epoch": 0.5,
|
| 200 |
+
"eval_accuracy_background": 0.6732741082932401,
|
| 201 |
+
"eval_accuracy_double_plant": 0.10359602903136565,
|
| 202 |
+
"eval_accuracy_drydown": 0.8666517772278536,
|
| 203 |
+
"eval_accuracy_endrow": 0.035669653990401784,
|
| 204 |
+
"eval_accuracy_nutrient_deficiency": 0.2536647750774501,
|
| 205 |
+
"eval_accuracy_planter_skip": 0.24370499629921916,
|
| 206 |
+
"eval_accuracy_water": 0.9767091931497752,
|
| 207 |
+
"eval_accuracy_waterway": 0.6842904410593037,
|
| 208 |
+
"eval_accuracy_weed_cluster": 0.3698701654570609,
|
| 209 |
+
"eval_iou_background": 0.5681057490790173,
|
| 210 |
+
"eval_iou_double_plant": 0.0852643551765096,
|
| 211 |
+
"eval_iou_drydown": 0.4543271536581631,
|
| 212 |
+
"eval_iou_endrow": 0.03370061965697607,
|
| 213 |
+
"eval_iou_nutrient_deficiency": 0.19633806402515588,
|
| 214 |
+
"eval_iou_planter_skip": 0.18150485646008124,
|
| 215 |
+
"eval_iou_water": 0.3528168740365702,
|
| 216 |
+
"eval_iou_waterway": 0.16230336403850296,
|
| 217 |
+
"eval_iou_weed_cluster": 0.22603294672854196,
|
| 218 |
+
"eval_loss": 1.9570292234420776,
|
| 219 |
+
"eval_mean_accuracy": 0.4674923488428522,
|
| 220 |
+
"eval_mean_iou": 0.2511548869843909,
|
| 221 |
+
"eval_overall_accuracy": 0.6432186597875551,
|
| 222 |
+
"eval_runtime": 259.2993,
|
| 223 |
+
"eval_samples_per_second": 10.96,
|
| 224 |
+
"eval_steps_per_second": 3.656,
|
| 225 |
+
"step": 3000
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 0.5833333333333334,
|
| 229 |
+
"grad_norm": 31.124582290649414,
|
| 230 |
+
"learning_rate": 1.7500000000000002e-05,
|
| 231 |
+
"loss": 2.3362,
|
| 232 |
+
"step": 3500
|
| 233 |
+
},
|
| 234 |
+
{
|
| 235 |
+
"epoch": 0.5833333333333334,
|
| 236 |
+
"eval_accuracy_background": 0.5814538721345998,
|
| 237 |
+
"eval_accuracy_double_plant": 0.06263123204822073,
|
| 238 |
+
"eval_accuracy_drydown": 0.9572617680178966,
|
| 239 |
+
"eval_accuracy_endrow": 0.1022870538789039,
|
| 240 |
+
"eval_accuracy_nutrient_deficiency": 0.155304235691705,
|
| 241 |
+
"eval_accuracy_planter_skip": 0.28837366612584614,
|
| 242 |
+
"eval_accuracy_water": 0.957647648655113,
|
| 243 |
+
"eval_accuracy_waterway": 0.4168520985122232,
|
| 244 |
+
"eval_accuracy_weed_cluster": 0.20255586893627922,
|
| 245 |
+
"eval_iou_background": 0.5035989534908836,
|
| 246 |
+
"eval_iou_double_plant": 0.05887727499276805,
|
| 247 |
+
"eval_iou_drydown": 0.35033214248192274,
|
| 248 |
+
"eval_iou_endrow": 0.08288492557854046,
|
| 249 |
+
"eval_iou_nutrient_deficiency": 0.1308384862727777,
|
| 250 |
+
"eval_iou_planter_skip": 0.23854848545793084,
|
| 251 |
+
"eval_iou_water": 0.33185434658316154,
|
| 252 |
+
"eval_iou_waterway": 0.19380165775707148,
|
| 253 |
+
"eval_iou_weed_cluster": 0.16104566462906844,
|
| 254 |
+
"eval_loss": 2.403474807739258,
|
| 255 |
+
"eval_mean_accuracy": 0.4138186048889764,
|
| 256 |
+
"eval_mean_iou": 0.22797577080490272,
|
| 257 |
+
"eval_overall_accuracy": 0.5765593656585961,
|
| 258 |
+
"eval_runtime": 258.5568,
|
| 259 |
+
"eval_samples_per_second": 10.992,
|
| 260 |
+
"eval_steps_per_second": 3.667,
|
| 261 |
+
"step": 3500
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.6666666666666666,
|
| 265 |
+
"grad_norm": 27.981061935424805,
|
| 266 |
+
"learning_rate": 1.9999999999999998e-05,
|
| 267 |
+
"loss": 2.2454,
|
| 268 |
+
"step": 4000
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.6666666666666666,
|
| 272 |
+
"eval_accuracy_background": 0.6165356472563173,
|
| 273 |
+
"eval_accuracy_double_plant": 0.2464305201601748,
|
| 274 |
+
"eval_accuracy_drydown": 0.9388557439528662,
|
| 275 |
+
"eval_accuracy_endrow": 0.08952317035344279,
|
| 276 |
+
"eval_accuracy_nutrient_deficiency": 0.30307985133610366,
|
| 277 |
+
"eval_accuracy_planter_skip": 0.34189676046879824,
|
| 278 |
+
"eval_accuracy_water": 0.9684396578613939,
|
| 279 |
+
"eval_accuracy_waterway": 0.4364168499156771,
|
| 280 |
+
"eval_accuracy_weed_cluster": 0.48568842831047665,
|
| 281 |
+
"eval_iou_background": 0.5406762574665314,
|
| 282 |
+
"eval_iou_double_plant": 0.12820291315879165,
|
| 283 |
+
"eval_iou_drydown": 0.445376041256294,
|
| 284 |
+
"eval_iou_endrow": 0.07582305802889684,
|
| 285 |
+
"eval_iou_nutrient_deficiency": 0.2473209944226292,
|
| 286 |
+
"eval_iou_planter_skip": 0.2571484714289717,
|
| 287 |
+
"eval_iou_water": 0.3523385474174709,
|
| 288 |
+
"eval_iou_waterway": 0.2182523975088832,
|
| 289 |
+
"eval_iou_weed_cluster": 0.22609664246227254,
|
| 290 |
+
"eval_loss": 1.9709433317184448,
|
| 291 |
+
"eval_mean_accuracy": 0.49187406995725,
|
| 292 |
+
"eval_mean_iou": 0.27680392479452676,
|
| 293 |
+
"eval_overall_accuracy": 0.6261566315021039,
|
| 294 |
+
"eval_runtime": 262.6128,
|
| 295 |
+
"eval_samples_per_second": 10.822,
|
| 296 |
+
"eval_steps_per_second": 3.61,
|
| 297 |
+
"step": 4000
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.75,
|
| 301 |
+
"grad_norm": 19.56971549987793,
|
| 302 |
+
"learning_rate": 2.25e-05,
|
| 303 |
+
"loss": 2.2631,
|
| 304 |
+
"step": 4500
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.75,
|
| 308 |
+
"eval_accuracy_background": 0.7136164920788886,
|
| 309 |
+
"eval_accuracy_double_plant": 0.2274296812949631,
|
| 310 |
+
"eval_accuracy_drydown": 0.8423346225534782,
|
| 311 |
+
"eval_accuracy_endrow": 0.3372638527840968,
|
| 312 |
+
"eval_accuracy_nutrient_deficiency": 0.39363536828312395,
|
| 313 |
+
"eval_accuracy_planter_skip": 0.24472503933611423,
|
| 314 |
+
"eval_accuracy_water": 0.8132625823496894,
|
| 315 |
+
"eval_accuracy_waterway": 0.5279086387447126,
|
| 316 |
+
"eval_accuracy_weed_cluster": 0.2613040701496915,
|
| 317 |
+
"eval_iou_background": 0.6023960172505115,
|
| 318 |
+
"eval_iou_double_plant": 0.14551908714826825,
|
| 319 |
+
"eval_iou_drydown": 0.48571101575483516,
|
| 320 |
+
"eval_iou_endrow": 0.15976738972856136,
|
| 321 |
+
"eval_iou_nutrient_deficiency": 0.26876578893765557,
|
| 322 |
+
"eval_iou_planter_skip": 0.21772117232934346,
|
| 323 |
+
"eval_iou_water": 0.3885318463525075,
|
| 324 |
+
"eval_iou_waterway": 0.25285421749201065,
|
| 325 |
+
"eval_iou_weed_cluster": 0.19549177279724894,
|
| 326 |
+
"eval_loss": 1.8094414472579956,
|
| 327 |
+
"eval_mean_accuracy": 0.48460892750830653,
|
| 328 |
+
"eval_mean_iou": 0.3018620341989936,
|
| 329 |
+
"eval_overall_accuracy": 0.6746520910480136,
|
| 330 |
+
"eval_runtime": 263.1854,
|
| 331 |
+
"eval_samples_per_second": 10.798,
|
| 332 |
+
"eval_steps_per_second": 3.602,
|
| 333 |
+
"step": 4500
|
| 334 |
+
},
|
| 335 |
+
{
|
| 336 |
+
"epoch": 0.8333333333333334,
|
| 337 |
+
"grad_norm": 15.023950576782227,
|
| 338 |
+
"learning_rate": 2.5e-05,
|
| 339 |
+
"loss": 2.2139,
|
| 340 |
+
"step": 5000
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"epoch": 0.8333333333333334,
|
| 344 |
+
"eval_accuracy_background": 0.6023184738684322,
|
| 345 |
+
"eval_accuracy_double_plant": 0.19349261148429422,
|
| 346 |
+
"eval_accuracy_drydown": 0.4844650786080634,
|
| 347 |
+
"eval_accuracy_endrow": 0.16074521211886753,
|
| 348 |
+
"eval_accuracy_nutrient_deficiency": 0.6620136299007383,
|
| 349 |
+
"eval_accuracy_planter_skip": 0.20313071353995618,
|
| 350 |
+
"eval_accuracy_water": 0.9327820785252834,
|
| 351 |
+
"eval_accuracy_waterway": 0.42715639009708817,
|
| 352 |
+
"eval_accuracy_weed_cluster": 0.5896869029400611,
|
| 353 |
+
"eval_iou_background": 0.5071775649990886,
|
| 354 |
+
"eval_iou_double_plant": 0.14848297634630775,
|
| 355 |
+
"eval_iou_drydown": 0.34958365519874773,
|
| 356 |
+
"eval_iou_endrow": 0.1266887334828955,
|
| 357 |
+
"eval_iou_nutrient_deficiency": 0.3268729234134353,
|
| 358 |
+
"eval_iou_planter_skip": 0.1708553631916936,
|
| 359 |
+
"eval_iou_water": 0.3656991869753895,
|
| 360 |
+
"eval_iou_waterway": 0.15825121509439088,
|
| 361 |
+
"eval_iou_weed_cluster": 0.18557336284286047,
|
| 362 |
+
"eval_loss": 2.1465232372283936,
|
| 363 |
+
"eval_mean_accuracy": 0.47286567678697605,
|
| 364 |
+
"eval_mean_iou": 0.2599094423938677,
|
| 365 |
+
"eval_overall_accuracy": 0.585979408046041,
|
| 366 |
+
"eval_runtime": 258.2944,
|
| 367 |
+
"eval_samples_per_second": 11.003,
|
| 368 |
+
"eval_steps_per_second": 3.67,
|
| 369 |
+
"step": 5000
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 0.9166666666666666,
|
| 373 |
+
"grad_norm": 15.944084167480469,
|
| 374 |
+
"learning_rate": 2.75e-05,
|
| 375 |
+
"loss": 2.1107,
|
| 376 |
+
"step": 5500
|
| 377 |
+
},
|
| 378 |
+
{
|
| 379 |
+
"epoch": 0.9166666666666666,
|
| 380 |
+
"eval_accuracy_background": 0.6320754005058506,
|
| 381 |
+
"eval_accuracy_double_plant": 0.18459879167713122,
|
| 382 |
+
"eval_accuracy_drydown": 0.7435807472335404,
|
| 383 |
+
"eval_accuracy_endrow": 0.4730924983472199,
|
| 384 |
+
"eval_accuracy_nutrient_deficiency": 0.7501714321465206,
|
| 385 |
+
"eval_accuracy_planter_skip": 0.394123356093544,
|
| 386 |
+
"eval_accuracy_water": 0.8982667262993669,
|
| 387 |
+
"eval_accuracy_waterway": 0.2070484619961853,
|
| 388 |
+
"eval_accuracy_weed_cluster": 0.06027005934327404,
|
| 389 |
+
"eval_iou_background": 0.5431209987641049,
|
| 390 |
+
"eval_iou_double_plant": 0.1123139870852644,
|
| 391 |
+
"eval_iou_drydown": 0.4467521390448892,
|
| 392 |
+
"eval_iou_endrow": 0.1507248222065432,
|
| 393 |
+
"eval_iou_nutrient_deficiency": 0.3257302284667843,
|
| 394 |
+
"eval_iou_planter_skip": 0.2504630445874714,
|
| 395 |
+
"eval_iou_water": 0.38357052112337536,
|
| 396 |
+
"eval_iou_waterway": 0.1656467966651648,
|
| 397 |
+
"eval_iou_weed_cluster": 0.0586611852117363,
|
| 398 |
+
"eval_loss": 2.075209856033325,
|
| 399 |
+
"eval_mean_accuracy": 0.48258083040473704,
|
| 400 |
+
"eval_mean_iou": 0.27077596923948155,
|
| 401 |
+
"eval_overall_accuracy": 0.6281377263734175,
|
| 402 |
+
"eval_runtime": 259.3294,
|
| 403 |
+
"eval_samples_per_second": 10.959,
|
| 404 |
+
"eval_steps_per_second": 3.656,
|
| 405 |
+
"step": 5500
|
| 406 |
+
}
|
| 407 |
+
],
|
| 408 |
+
"logging_steps": 500,
|
| 409 |
+
"max_steps": 120000,
|
| 410 |
+
"num_input_tokens_seen": 0,
|
| 411 |
+
"num_train_epochs": 20,
|
| 412 |
+
"save_steps": 500,
|
| 413 |
+
"total_flos": 8.782596484890624e+18,
|
| 414 |
+
"train_batch_size": 3,
|
| 415 |
+
"trial_name": null,
|
| 416 |
+
"trial_params": null
|
| 417 |
+
}
|
checkpoint-5500/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8a680a40140b6ca5fa47ac87d8120967d6766117ead261eaa84c073e1e9509b8
|
| 3 |
+
size 4539
|