Model save
Browse files- README.md +20 -20
- emissions.csv +1 -1
- model.safetensors +1 -1
- runs/Mar08_00-24-42_hcdsgpu1/events.out.tfevents.1709857487.hcdsgpu1.1648580.0 +3 -0
- training_args.bin +1 -1
README.md
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This model was trained from scratch on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size:
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- eval_batch_size:
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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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| Training Loss | Epoch | Step | Validation Loss |
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| No log | 1.0 |
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| No log | 2.0 |
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| No log | 3.0 |
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| No log | 4.0 |
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| No log | 5.0 |
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| No log | 6.0 |
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| No log | 7.0 |
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| No log | 8.0 |
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| No log | 9.0 |
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| No log | 10.0 |
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| No log | 11.0 |
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| No log | 12.0 |
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| No log | 13.0 |
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| No log | 14.0 |
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| No log | 15.0 |
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| No log | 16.0 |
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| No log | 17.0 |
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### Framework versions
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This model was trained from scratch on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.9667
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 160
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- eval_batch_size: 40
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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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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 2 | 6.2537 |
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| No log | 2.0 | 4 | 6.3434 |
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| No log | 3.0 | 6 | 6.2256 |
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| No log | 4.0 | 8 | 6.0253 |
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| No log | 5.0 | 10 | 5.8198 |
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| No log | 6.0 | 12 | 5.5768 |
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| No log | 7.0 | 14 | 5.4665 |
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| No log | 8.0 | 16 | 5.4053 |
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| No log | 9.0 | 18 | 5.3656 |
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| No log | 10.0 | 20 | 5.3181 |
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| No log | 11.0 | 22 | 5.2573 |
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| No log | 12.0 | 24 | 5.1785 |
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| No log | 13.0 | 26 | 5.1147 |
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| No log | 14.0 | 28 | 5.0536 |
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| No log | 15.0 | 30 | 5.0101 |
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| No log | 16.0 | 32 | 4.9799 |
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| No log | 17.0 | 34 | 4.9667 |
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### Framework versions
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emissions.csv
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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-
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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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2024-03-08T00:25:47,codecarbon,b45e3c0f-b0b3-4804-989b-8251b43a964f,59.549744844436646,0.008350089492199713,0.00014022040756031566,112.5,606.642,377.8920922279358,0.0018609036058187486,0.015463341509491208,0.00624247477732775,0.023566719892637703,Germany,DEU,free and hanseatic city of hamburg,,,Linux-5.15.0-97-generic-x86_64-with-glibc2.35,3.11.4,2.2.3,128,AMD EPYC 7543 32-Core Processor,5,4 x NVIDIA A401 x NVIDIA A100 80GB PCIe,9.9683,53.5649,1007.7122459411621,machine,N,1.0
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model.safetensors
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runs/Mar08_00-24-42_hcdsgpu1/events.out.tfevents.1709857487.hcdsgpu1.1648580.0
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training_args.bin
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