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pedro1111
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layout2

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Transformers
PyTorch
layoutlmv2
Generated from Trainer
Inference Endpoints
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End of training

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  1. README.md +146 -0
  2. emissions.csv +2 -0
  3. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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+ license: cc-by-nc-sa-4.0
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+ base_model: microsoft/layoutlmv2-base-uncased
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: layout2
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+ results: []
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+ ---
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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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+
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+ # layout2
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+
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+ This model is a fine-tuned version of [microsoft/layoutlmv2-base-uncased](https://huggingface.co/microsoft/layoutlmv2-base-uncased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 4.9306
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 4
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+ - eval_batch_size: 8
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+ - seed: 42
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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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+ - num_epochs: 20
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 5.3459 | 0.22 | 50 | 4.5773 |
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+ | 4.4535 | 0.44 | 100 | 4.3372 |
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+ | 4.0847 | 0.66 | 150 | 3.7812 |
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+ | 3.8993 | 0.88 | 200 | 3.5418 |
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+ | 3.5723 | 1.11 | 250 | 3.4054 |
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+ | 3.1247 | 1.33 | 300 | 3.1567 |
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+ | 3.1067 | 1.55 | 350 | 2.8839 |
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+ | 2.9002 | 1.77 | 400 | 2.9007 |
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+ | 2.7197 | 1.99 | 450 | 3.1319 |
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+ | 2.0518 | 2.21 | 500 | 2.8704 |
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+ | 1.9376 | 2.43 | 550 | 2.5644 |
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+ | 1.9025 | 2.65 | 600 | 2.5909 |
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+ | 2.1491 | 2.88 | 650 | 2.2353 |
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+ | 1.5984 | 3.1 | 700 | 2.2114 |
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+ | 1.4801 | 3.32 | 750 | 2.5351 |
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+ | 1.2501 | 3.54 | 800 | 2.2936 |
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+ | 1.2647 | 3.76 | 850 | 2.2360 |
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+ | 1.1896 | 3.98 | 900 | 2.3516 |
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+ | 0.8484 | 4.2 | 950 | 2.9913 |
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+ | 0.8924 | 4.42 | 1000 | 2.6146 |
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+ | 0.8342 | 4.65 | 1050 | 3.0150 |
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+ | 1.0721 | 4.87 | 1100 | 2.8298 |
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+ | 0.6878 | 5.09 | 1150 | 2.9925 |
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+ | 0.6807 | 5.31 | 1200 | 2.9388 |
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+ | 0.6139 | 5.53 | 1250 | 3.0299 |
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+ | 0.7792 | 5.75 | 1300 | 2.4786 |
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+ | 0.6837 | 5.97 | 1350 | 3.0713 |
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+ | 0.4388 | 6.19 | 1400 | 3.2049 |
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+ | 0.5377 | 6.42 | 1450 | 3.1746 |
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+ | 0.6028 | 6.64 | 1500 | 3.1708 |
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+ | 0.6295 | 6.86 | 1550 | 3.4203 |
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+ | 0.5441 | 7.08 | 1600 | 3.3876 |
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+ | 0.4105 | 7.3 | 1650 | 3.4065 |
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+ | 0.3848 | 7.52 | 1700 | 3.4103 |
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+ | 0.507 | 7.74 | 1750 | 3.2958 |
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+ | 0.3741 | 7.96 | 1800 | 3.9773 |
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+ | 0.297 | 8.19 | 1850 | 4.1055 |
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+ | 0.4131 | 8.41 | 1900 | 3.7588 |
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+ | 0.3332 | 8.63 | 1950 | 3.6752 |
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+ | 0.2608 | 8.85 | 2000 | 4.2848 |
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+ | 0.2652 | 9.07 | 2050 | 3.6098 |
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+ | 0.1967 | 9.29 | 2100 | 3.7971 |
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+ | 0.3771 | 9.51 | 2150 | 3.6206 |
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+ | 0.1677 | 9.73 | 2200 | 4.3747 |
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+ | 0.1711 | 9.96 | 2250 | 4.2229 |
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+ | 0.0949 | 10.18 | 2300 | 4.5390 |
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+ | 0.1804 | 10.4 | 2350 | 4.3297 |
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+ | 0.1313 | 10.62 | 2400 | 4.3467 |
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+ | 0.2292 | 10.84 | 2450 | 4.4368 |
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+ | 0.1342 | 11.06 | 2500 | 4.2101 |
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+ | 0.1411 | 11.28 | 2550 | 4.2723 |
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+ | 0.0907 | 11.5 | 2600 | 4.3821 |
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+ | 0.1656 | 11.73 | 2650 | 4.3373 |
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+ | 0.0757 | 11.95 | 2700 | 4.3297 |
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+ | 0.1571 | 12.17 | 2750 | 4.1193 |
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+ | 0.1015 | 12.39 | 2800 | 4.2492 |
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+ | 0.0785 | 12.61 | 2850 | 4.3998 |
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+ | 0.1003 | 12.83 | 2900 | 4.3994 |
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+ | 0.0884 | 13.05 | 2950 | 4.4914 |
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+ | 0.0261 | 13.27 | 3000 | 4.5869 |
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+ | 0.1138 | 13.5 | 3050 | 4.4546 |
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+ | 0.1481 | 13.72 | 3100 | 4.6197 |
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+ | 0.0814 | 13.94 | 3150 | 4.4034 |
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+ | 0.0079 | 14.16 | 3200 | 4.7623 |
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+ | 0.0641 | 14.38 | 3250 | 4.5933 |
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+ | 0.0499 | 14.6 | 3300 | 4.6543 |
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+ | 0.1052 | 14.82 | 3350 | 4.2287 |
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+ | 0.0775 | 15.04 | 3400 | 4.3898 |
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+ | 0.0561 | 15.27 | 3450 | 4.5852 |
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+ | 0.0443 | 15.49 | 3500 | 4.6139 |
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+ | 0.006 | 15.71 | 3550 | 4.7572 |
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+ | 0.1517 | 15.93 | 3600 | 4.5492 |
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+ | 0.0473 | 16.15 | 3650 | 4.6196 |
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+ | 0.0534 | 16.37 | 3700 | 4.5726 |
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+ | 0.0069 | 16.59 | 3750 | 4.7234 |
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+ | 0.0515 | 16.81 | 3800 | 4.7475 |
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+ | 0.0187 | 17.04 | 3850 | 4.7945 |
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+ | 0.0616 | 17.26 | 3900 | 4.7330 |
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+ | 0.0385 | 17.48 | 3950 | 4.6939 |
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+ | 0.0377 | 17.7 | 4000 | 4.7966 |
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+ | 0.0039 | 17.92 | 4050 | 4.7507 |
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+ | 0.027 | 18.14 | 4100 | 4.7653 |
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+ | 0.0193 | 18.36 | 4150 | 4.7589 |
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+ | 0.0318 | 18.58 | 4200 | 4.8174 |
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+ | 0.0094 | 18.81 | 4250 | 4.8776 |
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+ | 0.035 | 19.03 | 4300 | 4.9437 |
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+ | 0.0118 | 19.25 | 4350 | 4.9520 |
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+ | 0.0036 | 19.47 | 4400 | 4.9428 |
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+ | 0.0082 | 19.69 | 4450 | 4.9414 |
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+ | 0.004 | 19.91 | 4500 | 4.9306 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.32.0
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+ - Pytorch 2.0.0+cu118
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+ - Datasets 2.17.1
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+ - Tokenizers 0.13.2
emissions.csv ADDED
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+ timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue
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+ 2024-03-01T21:22:17,codecarbon,e7619660-18f8-4208-b589-c4af8023a70a,6920.203557014465,0.10364892417034834,1.4977727651564178e-05,42.5,60.36605972043375,40.5345139503479,0.08169005512264041,0.10716574267696721,0.07779815348016011,0.2666539512797679,The Netherlands,NLD,north holland,,,Linux-5.4.0-1103-azure-x86_64-with-glibc2.27,3.10.8,2.3.1,16,AMD EPYC 7V12 64-Core Processor,1,1 x Tesla T4,4.8883,52.3716,108.09203720092773,machine,N,1.0
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