ShaneOD2611 commited on
Commit
d3da433
·
verified ·
1 Parent(s): 5e7cab6

End of training

Browse files
README.md ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ base_model: microsoft/table-transformer-detection
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: table-transformer-detection_finetuned_CSGO
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
14
+ # table-transformer-detection_finetuned_CSGO
15
+
16
+ This model is a fine-tuned version of [microsoft/table-transformer-detection](https://huggingface.co/microsoft/table-transformer-detection) on an unknown dataset.
17
+ It achieves the following results on the evaluation set:
18
+ - Loss: 2.0076
19
+
20
+ ## Model description
21
+
22
+ More information needed
23
+
24
+ ## Intended uses & limitations
25
+
26
+ More information needed
27
+
28
+ ## Training and evaluation data
29
+
30
+ More information needed
31
+
32
+ ## Training procedure
33
+
34
+ ### Training hyperparameters
35
+
36
+ The following hyperparameters were used during training:
37
+ - learning_rate: 0.0001
38
+ - train_batch_size: 8
39
+ - eval_batch_size: 8
40
+ - seed: 42
41
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
42
+ - lr_scheduler_type: linear
43
+ - num_epochs: 1
44
+ - mixed_precision_training: Native AMP
45
+
46
+ ### Training results
47
+
48
+ | Training Loss | Epoch | Step | Validation Loss |
49
+ |:-------------:|:-----:|:----:|:---------------:|
50
+ | 1.9004 | 1.0 | 222 | 2.0076 |
51
+
52
+
53
+ ### Framework versions
54
+
55
+ - Transformers 4.38.2
56
+ - Pytorch 2.2.1+cu121
57
+ - Datasets 2.18.0
58
+ - Tokenizers 0.15.2
config.json ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "microsoft/table-transformer-detection",
3
+ "activation_dropout": 0.0,
4
+ "activation_function": "relu",
5
+ "architectures": [
6
+ "TableTransformerForObjectDetection"
7
+ ],
8
+ "attention_dropout": 0.0,
9
+ "auxiliary_loss": false,
10
+ "backbone": "resnet18",
11
+ "backbone_config": null,
12
+ "backbone_kwargs": null,
13
+ "bbox_cost": 5,
14
+ "bbox_loss_coefficient": 5,
15
+ "ce_loss_coefficient": 1,
16
+ "class_cost": 1,
17
+ "d_model": 256,
18
+ "decoder_attention_heads": 8,
19
+ "decoder_ffn_dim": 2048,
20
+ "decoder_layerdrop": 0.0,
21
+ "decoder_layers": 6,
22
+ "dice_loss_coefficient": 1,
23
+ "dilation": false,
24
+ "dropout": 0.1,
25
+ "encoder_attention_heads": 8,
26
+ "encoder_ffn_dim": 2048,
27
+ "encoder_layerdrop": 0.0,
28
+ "encoder_layers": 6,
29
+ "eos_coefficient": 0.4,
30
+ "giou_cost": 2,
31
+ "giou_loss_coefficient": 2,
32
+ "id2label": {
33
+ "0": "CSGO",
34
+ "1": "CT",
35
+ "2": "T"
36
+ },
37
+ "init_std": 0.02,
38
+ "init_xavier_std": 1.0,
39
+ "is_encoder_decoder": true,
40
+ "label2id": {
41
+ "CSGO": 0,
42
+ "CT": 1,
43
+ "T": 2
44
+ },
45
+ "mask_loss_coefficient": 1,
46
+ "max_position_embeddings": 1024,
47
+ "model_type": "table-transformer",
48
+ "num_channels": 3,
49
+ "num_hidden_layers": 6,
50
+ "num_queries": 15,
51
+ "position_embedding_type": "sine",
52
+ "scale_embedding": false,
53
+ "torch_dtype": "float32",
54
+ "transformers_version": "4.38.2",
55
+ "use_pretrained_backbone": true,
56
+ "use_timm_backbone": true
57
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3daf7fbb71468b758a7938f84d7e33a058d5759f7cebdc040eff804a74f4485b
3
+ size 115318136
preprocessor_config.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_convert_annotations": true,
3
+ "do_normalize": true,
4
+ "do_pad": true,
5
+ "do_rescale": true,
6
+ "do_resize": true,
7
+ "format": "coco_detection",
8
+ "image_mean": [
9
+ 0.485,
10
+ 0.456,
11
+ 0.406
12
+ ],
13
+ "image_processor_type": "DetrImageProcessor",
14
+ "image_std": [
15
+ 0.229,
16
+ 0.224,
17
+ 0.225
18
+ ],
19
+ "resample": 2,
20
+ "rescale_factor": 0.00392156862745098,
21
+ "size": {
22
+ "longest_edge": 800,
23
+ "shortest_edge": 800
24
+ }
25
+ }
runs/Apr10_15-20-17_24ee56183bad/events.out.tfevents.1712762420.24ee56183bad.1897.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:31d468600c32dd87b28ef2a46c35e1f646ab014033c9378d41e6733814169491
3
+ size 6822
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f58d636666f98d4329a16b7c6421228a575641b09b4f85d3847a03398ca906b7
3
+ size 4920