Model save
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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: 3.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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| No log | 1.0 | 5 | 4.
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| No log | 2.0 | 10 | 3.
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| No log | 3.0 | 15 | 3.
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| No log | 4.0 | 20 | 3.
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| No log | 5.0 | 25 | 3.
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| No log | 6.0 | 30 | 3.
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| No log | 7.0 | 35 | 3.
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| No log | 8.0 | 40 | 3.
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| No log | 9.0 | 45 | 3.
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| No log | 10.0 | 50 | 3.
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| No log | 11.0 | 55 | 3.
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| No log | 12.0 | 60 | 3.
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| No log | 13.0 | 65 | 3.
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| No log | 14.0 | 70 | 3.
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| No log | 15.0 | 75 | 3.
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| No log | 16.0 | 80 | 3.
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| No log | 17.0 | 85 | 3.
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| No log | 18.0 | 90 | 3.
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| No log | 19.0 | 95 | 3.
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| No log | 20.0 | 100 | 3.
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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: 3.3356
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## Model description
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 5 | 4.3515 |
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| No log | 2.0 | 10 | 3.9809 |
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| No log | 3.0 | 15 | 3.6622 |
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| No log | 4.0 | 20 | 3.4173 |
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| No log | 5.0 | 25 | 3.3053 |
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| No log | 6.0 | 30 | 3.1078 |
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| No log | 7.0 | 35 | 3.1207 |
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| No log | 8.0 | 40 | 3.1541 |
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| No log | 9.0 | 45 | 3.1083 |
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| No log | 10.0 | 50 | 3.0859 |
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| No log | 11.0 | 55 | 3.0937 |
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| No log | 12.0 | 60 | 3.1166 |
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| No log | 13.0 | 65 | 3.2106 |
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| No log | 14.0 | 70 | 3.2250 |
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| No log | 15.0 | 75 | 3.3418 |
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| No log | 16.0 | 80 | 3.2811 |
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| No log | 17.0 | 85 | 3.2969 |
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| No log | 18.0 | 90 | 3.3815 |
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| No log | 19.0 | 95 | 3.3449 |
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| No log | 20.0 | 100 | 3.3356 |
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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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2024-02-23T22:39:37,codecarbon,09385177-b783-4897-993d-0dac5cfcc970,49.
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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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2024-02-23T22:39:37,codecarbon,09385177-b783-4897-993d-0dac5cfcc970,49.35550737380981,0.0068169434273451,0.0001381192047265,112.5,658.766,377.8925685882568,0.0015423422157764,0.0125618992264898,0.0051354321476125,0.0192396735898788,Germany,DEU,free and hanseatic city of hamburg,,,Linux-5.15.0-76-generic-x86_64-with-glibc2.35,3.11.4,2.2.3,128,AMD EPYC 7543 32-Core Processor,4,4 x NVIDIA A40,9.9683,53.5649,1007.7135162353516,machine,N,1.0
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2024-02-23T22:43:50,codecarbon,630265e1-93fd-4252-8a90-fc6d65603f59,49.40052318572998,0.006684141493059076,0.00013530507496709837,112.5,1000.4390000000001,377.89256858825684,0.0015437498688697815,0.012177606644799048,0.0051435060050900126,0.01886486251875884,Germany,DEU,free and hanseatic city of hamburg,,,Linux-5.15.0-76-generic-x86_64-with-glibc2.35,3.11.4,2.2.3,128,AMD EPYC 7543 32-Core Processor,4,4 x NVIDIA A40,9.9683,53.5649,1007.7135162353516,machine,N,1.0
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model.safetensors
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runs/Feb23_22-38-41_hcdsgpu2/events.out.tfevents.1708728003.hcdsgpu2.3250659.1
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runs/Feb23_22-42-54_hcdsgpu2/events.out.tfevents.1708728180.hcdsgpu2.3253337.0
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training_args.bin
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