Transformers
TensorBoard
Safetensors
custom_model
image-regression
human-movement
vision
Generated from Trainer
Instructions to use c14kevincardenas/limbxy_pose_2heads_1layers_8embeddim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use c14kevincardenas/limbxy_pose_2heads_1layers_8embeddim with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("c14kevincardenas/limbxy_pose_2heads_1layers_8embeddim", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- README.md +83 -0
- all_results.json +13 -0
- config.json +93 -0
- eval_results.json +8 -0
- model.safetensors +3 -0
- preprocessor_config.json +28 -0
- runs/Feb10_23-07-07_galactica.ad.cirange.net/events.out.tfevents.1739228898.galactica.ad.cirange.net.2112498.0 +3 -0
- runs/Feb10_23-10-00_galactica.ad.cirange.net/events.out.tfevents.1739229005.galactica.ad.cirange.net.2113898.0 +3 -0
- runs/Feb10_23-15-46_galactica.ad.cirange.net/events.out.tfevents.1739229351.galactica.ad.cirange.net.2114556.0 +3 -0
- runs/Feb10_23-15-46_galactica.ad.cirange.net/events.out.tfevents.1739233102.galactica.ad.cirange.net.2114556.1 +3 -0
- runs/Feb11_16-52-08_galactica.ad.cirange.net/events.out.tfevents.1739292750.galactica.ad.cirange.net.2142376.0 +3 -0
- runs/Feb11_16-52-08_galactica.ad.cirange.net/events.out.tfevents.1739296199.galactica.ad.cirange.net.2142376.1 +3 -0
- runs/Feb11_17-51-12_galactica.ad.cirange.net/events.out.tfevents.1739296278.galactica.ad.cirange.net.2161252.0 +3 -0
- runs/Feb12_20-38-04_galactica.ad.cirange.net/events.out.tfevents.1739392689.galactica.ad.cirange.net.2335522.0 +3 -0
- runs/Feb12_20-38-04_galactica.ad.cirange.net/events.out.tfevents.1739396347.galactica.ad.cirange.net.2335522.1 +3 -0
- runs/Feb12_22-40-50_galactica.ad.cirange.net/events.out.tfevents.1739400056.galactica.ad.cirange.net.2354828.0 +3 -0
- runs/Feb12_22-40-50_galactica.ad.cirange.net/events.out.tfevents.1739403709.galactica.ad.cirange.net.2354828.1 +3 -0
- runs/Feb18_14-54-27_galactica.ad.cirange.net/events.out.tfevents.1739890472.galactica.ad.cirange.net.2653462.0 +3 -0
- runs/Feb18_14-54-27_galactica.ad.cirange.net/events.out.tfevents.1739894315.galactica.ad.cirange.net.2653462.1 +3 -0
- runs/Feb18_22-12-13_galactica.ad.cirange.net/events.out.tfevents.1739916738.galactica.ad.cirange.net.2675420.0 +3 -0
- runs/Feb18_22-12-13_galactica.ad.cirange.net/events.out.tfevents.1739920410.galactica.ad.cirange.net.2675420.1 +3 -0
- runs/Feb18_23-22-11_galactica.ad.cirange.net/events.out.tfevents.1739920937.galactica.ad.cirange.net.2694498.0 +3 -0
- runs/Feb18_23-24-01_galactica.ad.cirange.net/events.out.tfevents.1739921046.galactica.ad.cirange.net.2696018.0 +3 -0
- train_results.json +8 -0
- trainer_state.json +719 -0
- training_args.bin +3 -0
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: microsoft/beit-large-patch16-384
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tags:
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- image-regression
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- human-movement
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- vision
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- generated_from_trainer
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model-index:
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- name: limbxy_pose
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# limbxy_pose
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This model is a fine-tuned version of [microsoft/beit-large-patch16-384](https://huggingface.co/microsoft/beit-large-patch16-384) on the c14kevincardenas/beta_caller_284_limbxy_pose dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1399
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- Rmse: 0.3740
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 64
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- eval_batch_size: 64
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- seed: 2014
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 250
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- num_epochs: 20.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rmse |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.2029 | 1.0 | 89 | 0.2039 | 0.4516 |
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| 0.1535 | 2.0 | 178 | 0.1545 | 0.3931 |
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| 58 |
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| 0.1847 | 3.0 | 267 | 0.1640 | 0.4050 |
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| 59 |
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| 0.1582 | 4.0 | 356 | 0.1427 | 0.3777 |
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| 60 |
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| 0.1471 | 5.0 | 445 | 0.1427 | 0.3778 |
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| 61 |
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| 0.1553 | 6.0 | 534 | 0.1469 | 0.3833 |
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| 62 |
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| 0.1613 | 7.0 | 623 | 0.1430 | 0.3782 |
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| 63 |
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| 0.1471 | 8.0 | 712 | 0.1427 | 0.3778 |
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| 64 |
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| 0.1587 | 9.0 | 801 | 0.1417 | 0.3764 |
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| 65 |
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| 0.1504 | 10.0 | 890 | 0.1427 | 0.3777 |
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| 66 |
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| 0.1431 | 11.0 | 979 | 0.1429 | 0.3780 |
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| 67 |
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| 0.1455 | 12.0 | 1068 | 0.1442 | 0.3797 |
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| 68 |
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| 0.1515 | 13.0 | 1157 | 0.1431 | 0.3783 |
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| 69 |
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| 0.1407 | 14.0 | 1246 | 0.1443 | 0.3799 |
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| 0.1436 | 15.0 | 1335 | 0.1419 | 0.3768 |
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| 71 |
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| 0.1425 | 16.0 | 1424 | 0.1399 | 0.3740 |
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| 0.1411 | 17.0 | 1513 | 0.1401 | 0.3743 |
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| 73 |
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| 0.1401 | 18.0 | 1602 | 0.1408 | 0.3752 |
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| 0.1426 | 19.0 | 1691 | 0.1406 | 0.3750 |
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| 0.1388 | 20.0 | 1780 | 0.1400 | 0.3742 |
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### Framework versions
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- Transformers 4.45.2
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- Pytorch 2.5.0+cu124
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- Datasets 3.0.1
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| 83 |
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- Tokenizers 0.20.1
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all_results.json
ADDED
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{
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| 2 |
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"epoch": 20.0,
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| 3 |
+
"eval_loss": 0.1398855596780777,
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| 4 |
+
"eval_rmse": 0.3740127682685852,
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| 5 |
+
"eval_runtime": 10.0622,
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| 6 |
+
"eval_samples_per_second": 99.382,
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| 7 |
+
"eval_steps_per_second": 1.59,
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| 8 |
+
"total_flos": 0.0,
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| 9 |
+
"train_loss": 0.15538578709859527,
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| 10 |
+
"train_runtime": 3316.8972,
|
| 11 |
+
"train_samples_per_second": 34.14,
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| 12 |
+
"train_steps_per_second": 0.537
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| 13 |
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}
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config.json
ADDED
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{
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"_name_or_path": "c14kevincardenas/beit-large-patch16-384-limb",
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| 3 |
+
"add_fpn": false,
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| 4 |
+
"architectures": [
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"LimbXYModel"
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+
],
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| 7 |
+
"attention_probs_dropout_prob": 0.0,
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| 8 |
+
"auxiliary_channels": 256,
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| 9 |
+
"auxiliary_concat_input": false,
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| 10 |
+
"auxiliary_loss_weight": 0.4,
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| 11 |
+
"auxiliary_num_convs": 1,
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| 12 |
+
"d_model": 1024,
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| 13 |
+
"drop_path_rate": 0.1,
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| 14 |
+
"finetuning_task": "regression",
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| 15 |
+
"hidden_act": "gelu",
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| 16 |
+
"hidden_dropout_prob": 0.0,
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| 17 |
+
"hidden_size": 1024,
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| 18 |
+
"id2label": {
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"0": "left_foot",
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| 20 |
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"1": "left_hand",
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"2": "right_foot",
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| 22 |
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"3": "right_hand"
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| 23 |
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},
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| 24 |
+
"image_size": 384,
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| 25 |
+
"initializer_range": 0.02,
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| 26 |
+
"intermediate_size": 4096,
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| 27 |
+
"label2id": {
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| 28 |
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"left_foot": "0",
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| 29 |
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"left_hand": "1",
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| 30 |
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"right_foot": "2",
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"right_hand": "3"
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| 32 |
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},
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| 33 |
+
"layer_norm_eps": 1e-12,
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| 34 |
+
"layer_scale_init_value": 0.1,
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| 35 |
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"model_type": "custom_model",
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| 36 |
+
"nhead": 2,
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| 37 |
+
"num_attention_heads": 16,
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| 38 |
+
"num_channels": 3,
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| 39 |
+
"num_classes": 4,
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| 40 |
+
"num_hidden_layers": 24,
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| 41 |
+
"num_layers": 1,
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| 42 |
+
"out_features": [
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| 43 |
+
"stage24"
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| 44 |
+
],
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| 45 |
+
"out_indices": [
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| 46 |
+
24
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| 47 |
+
],
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| 48 |
+
"patch_size": 16,
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| 49 |
+
"pool_scales": [
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| 50 |
+
1,
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| 51 |
+
2,
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| 52 |
+
3,
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| 53 |
+
6
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| 54 |
+
],
|
| 55 |
+
"reshape_hidden_states": true,
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| 56 |
+
"semantic_loss_ignore_index": 255,
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| 57 |
+
"stage_names": [
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| 58 |
+
"stem",
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| 59 |
+
"stage1",
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| 60 |
+
"stage2",
|
| 61 |
+
"stage3",
|
| 62 |
+
"stage4",
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| 63 |
+
"stage5",
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| 64 |
+
"stage6",
|
| 65 |
+
"stage7",
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| 66 |
+
"stage8",
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| 67 |
+
"stage9",
|
| 68 |
+
"stage10",
|
| 69 |
+
"stage11",
|
| 70 |
+
"stage12",
|
| 71 |
+
"stage13",
|
| 72 |
+
"stage14",
|
| 73 |
+
"stage15",
|
| 74 |
+
"stage16",
|
| 75 |
+
"stage17",
|
| 76 |
+
"stage18",
|
| 77 |
+
"stage19",
|
| 78 |
+
"stage20",
|
| 79 |
+
"stage21",
|
| 80 |
+
"stage22",
|
| 81 |
+
"stage23",
|
| 82 |
+
"stage24"
|
| 83 |
+
],
|
| 84 |
+
"torch_dtype": "float32",
|
| 85 |
+
"transformers_version": "4.45.2",
|
| 86 |
+
"use_absolute_position_embeddings": false,
|
| 87 |
+
"use_auxiliary_head": true,
|
| 88 |
+
"use_mask_token": false,
|
| 89 |
+
"use_mean_pooling": true,
|
| 90 |
+
"use_relative_position_bias": true,
|
| 91 |
+
"use_shared_relative_position_bias": false,
|
| 92 |
+
"vocab_size": 8192
|
| 93 |
+
}
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eval_results.json
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| 1 |
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{
|
| 2 |
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"epoch": 20.0,
|
| 3 |
+
"eval_loss": 0.1398855596780777,
|
| 4 |
+
"eval_rmse": 0.3740127682685852,
|
| 5 |
+
"eval_runtime": 10.0622,
|
| 6 |
+
"eval_samples_per_second": 99.382,
|
| 7 |
+
"eval_steps_per_second": 1.59
|
| 8 |
+
}
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model.safetensors
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| 1 |
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version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:661c13f6f604ca390b88a7927d7455358092ea5dd03c91487c20a19996a96eaa
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| 3 |
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size 1216514232
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preprocessor_config.json
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{
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| 2 |
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"crop_size": {
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| 3 |
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"height": 224,
|
| 4 |
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"width": 224
|
| 5 |
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},
|
| 6 |
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"do_center_crop": false,
|
| 7 |
+
"do_normalize": true,
|
| 8 |
+
"do_reduce_labels": false,
|
| 9 |
+
"do_rescale": true,
|
| 10 |
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"do_resize": true,
|
| 11 |
+
"image_mean": [
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| 12 |
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0.5,
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| 13 |
+
0.5,
|
| 14 |
+
0.5
|
| 15 |
+
],
|
| 16 |
+
"image_processor_type": "BeitImageProcessor",
|
| 17 |
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"image_std": [
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training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 5240
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