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pedro1111
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layout2_large

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Transformers
PyTorch
layoutlmv2
Generated from Trainer
Inference Endpoints
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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-large-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_large
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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_large
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+
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+ This model is a fine-tuned version of [microsoft/layoutlmv2-large-uncased](https://huggingface.co/microsoft/layoutlmv2-large-uncased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 5.2238
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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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+ | 3.6695 | 0.22 | 50 | 2.4612 |
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+ | 2.3221 | 0.44 | 100 | 1.9209 |
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+ | 2.1651 | 0.66 | 150 | 1.7838 |
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+ | 1.7644 | 0.88 | 200 | 1.9484 |
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+ | 1.8272 | 1.11 | 250 | 1.7739 |
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+ | 1.2938 | 1.33 | 300 | 1.7310 |
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+ | 1.477 | 1.55 | 350 | 1.7254 |
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+ | 1.4623 | 1.77 | 400 | 1.4813 |
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+ | 1.2976 | 1.99 | 450 | 1.8113 |
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+ | 0.8746 | 2.21 | 500 | 2.0039 |
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+ | 0.8223 | 2.43 | 550 | 2.5449 |
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+ | 1.0367 | 2.65 | 600 | 2.3888 |
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+ | 1.0897 | 2.88 | 650 | 1.8641 |
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+ | 0.6269 | 3.1 | 700 | 3.3845 |
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+ | 0.7064 | 3.32 | 750 | 3.5282 |
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+ | 0.8204 | 3.54 | 800 | 2.2839 |
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+ | 0.9558 | 3.76 | 850 | 3.1004 |
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+ | 0.8255 | 3.98 | 900 | 2.5468 |
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+ | 0.778 | 4.2 | 950 | 4.6735 |
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+ | 0.8192 | 4.42 | 1000 | 3.7428 |
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+ | 0.798 | 4.65 | 1050 | 3.7837 |
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+ | 0.5329 | 4.87 | 1100 | 3.2764 |
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+ | 0.7568 | 5.09 | 1150 | 3.5623 |
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+ | 0.5929 | 5.31 | 1200 | 3.1992 |
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+ | 0.4427 | 5.53 | 1250 | 4.6837 |
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+ | 0.7004 | 5.75 | 1300 | 2.6854 |
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+ | 0.4315 | 5.97 | 1350 | 3.0840 |
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+ | 0.2394 | 6.19 | 1400 | 4.3777 |
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+ | 0.4605 | 6.42 | 1450 | 4.0313 |
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+ | 0.4959 | 6.64 | 1500 | 3.3943 |
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+ | 0.618 | 6.86 | 1550 | 3.4803 |
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+ | 0.254 | 7.08 | 1600 | 4.0659 |
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+ | 0.2255 | 7.3 | 1650 | 3.5000 |
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+ | 0.3048 | 7.52 | 1700 | 4.0518 |
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+ | 0.5369 | 7.74 | 1750 | 3.9500 |
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+ | 0.3641 | 7.96 | 1800 | 3.7982 |
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+ | 0.1725 | 8.19 | 1850 | 3.8756 |
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+ | 0.3369 | 8.41 | 1900 | 4.1205 |
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+ | 0.3522 | 8.63 | 1950 | 4.3853 |
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+ | 0.4681 | 8.85 | 2000 | 3.2152 |
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+ | 0.0857 | 9.07 | 2050 | 4.1299 |
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+ | 0.36 | 9.29 | 2100 | 3.5658 |
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+ | 0.3325 | 9.51 | 2150 | 3.8848 |
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+ | 0.1645 | 9.73 | 2200 | 3.8714 |
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+ | 0.2046 | 9.96 | 2250 | 3.9900 |
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+ | 0.1267 | 10.18 | 2300 | 4.6510 |
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+ | 0.2284 | 10.4 | 2350 | 4.1686 |
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+ | 0.173 | 10.62 | 2400 | 4.0575 |
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+ | 0.219 | 10.84 | 2450 | 4.2034 |
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+ | 0.1107 | 11.06 | 2500 | 4.5646 |
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+ | 0.0916 | 11.28 | 2550 | 4.9722 |
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+ | 0.1358 | 11.5 | 2600 | 5.0297 |
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+ | 0.0681 | 11.73 | 2650 | 5.2933 |
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+ | 0.0447 | 11.95 | 2700 | 5.4102 |
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+ | 0.0655 | 12.17 | 2750 | 5.8173 |
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+ | 0.0694 | 12.39 | 2800 | 6.3645 |
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+ | 0.1717 | 12.61 | 2850 | 5.4551 |
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+ | 0.0197 | 12.83 | 2900 | 5.3129 |
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+ | 0.0319 | 13.05 | 2950 | 5.2423 |
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+ | 0.0 | 13.27 | 3000 | 5.3664 |
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+ | 0.124 | 13.5 | 3050 | 5.2445 |
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+ | 0.0025 | 13.72 | 3100 | 5.5092 |
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+ | 0.1243 | 13.94 | 3150 | 5.3060 |
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+ | 0.071 | 14.16 | 3200 | 5.3991 |
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+ | 0.0301 | 14.38 | 3250 | 5.2129 |
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+ | 0.0059 | 14.6 | 3300 | 5.3309 |
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+ | 0.1027 | 14.82 | 3350 | 4.6790 |
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+ | 0.0001 | 15.04 | 3400 | 5.4300 |
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+ | 0.0 | 15.27 | 3450 | 5.4420 |
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+ | 0.0046 | 15.49 | 3500 | 5.7107 |
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+ | 0.0488 | 15.71 | 3550 | 5.3521 |
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+ | 0.0797 | 15.93 | 3600 | 4.9206 |
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+ | 0.06 | 16.15 | 3650 | 4.6152 |
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+ | 0.0295 | 16.37 | 3700 | 4.6441 |
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+ | 0.0126 | 16.59 | 3750 | 4.8442 |
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+ | 0.0 | 16.81 | 3800 | 4.8838 |
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+ | 0.0004 | 17.04 | 3850 | 5.0888 |
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+ | 0.0 | 17.26 | 3900 | 5.1360 |
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+ | 0.0003 | 17.48 | 3950 | 5.4019 |
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+ | 0.0583 | 17.7 | 4000 | 5.0542 |
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+ | 0.0 | 17.92 | 4050 | 4.9908 |
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+ | 0.0001 | 18.14 | 4100 | 5.1099 |
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+ | 0.0194 | 18.36 | 4150 | 5.1146 |
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+ | 0.0002 | 18.58 | 4200 | 5.2076 |
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+ | 0.0 | 18.81 | 4250 | 5.3454 |
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+ | 0.0249 | 19.03 | 4300 | 5.3082 |
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+ | 0.0329 | 19.25 | 4350 | 5.2274 |
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+ | 0.0 | 19.47 | 4400 | 5.2129 |
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+ | 0.0 | 19.69 | 4450 | 5.2155 |
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+ | 0.0009 | 19.91 | 4500 | 5.2238 |
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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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+ 2024-03-05T15:46:32,codecarbon,5189cf8f-9dcd-45ef-a0d3-0e6e0de6f6b8,13251.881966114044,0.20727410734034352,1.5641107268413453e-05,42.5,68.65567353401704,40.5345139503479,0.15641960446255054,0.2277926269561803,0.14903459350201437,0.5332468249207453,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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