End of training
Browse files- README.md +8 -8
- emissions.csv +1 -1
- metrics.json +6 -6
- model.safetensors +1 -1
README.md
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This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.
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- Accuracy: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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### Framework versions
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This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.8689
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- Accuracy: 0.35
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- F1: 0.0519
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.0 | 1 | 5.1648 | 0.0 | 0.0 |
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| No log | 2.0 | 2 | 5.0523 | 0.05 | 0.0167 |
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| No log | 3.0 | 3 | 4.9636 | 0.35 | 0.0519 |
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| No log | 4.0 | 4 | 4.9016 | 0.35 | 0.0519 |
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| No log | 5.0 | 5 | 4.8689 | 0.35 | 0.0519 |
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### Framework versions
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emissions.csv
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timestamp,project_name,run_id,experiment_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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2025-08-
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timestamp,project_name,run_id,experiment_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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2025-08-11T13:36:59,codecarbon,25e13009-9525-47a3-9dc4-79f6b0744b00,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,12.463868889026344,0.0001911372220953498,1.5335304294129263e-05,42.5,387.9151934865297,94.34468364715576,0.00014706192220393052,0.0013422999627152876,0.0003264444486961051,0.0018158063336153234,Luxembourg,LUX,luxembourg,,,Linux-6.8.0-60-generic-x86_64-with-glibc2.39,3.12.3,2.8.4,64,AMD EPYC 9124 16-Core Processor,2,2 x NVIDIA L40S,6.1294,49.6113,251.58582305908203,machine,N,1.0
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metrics.json
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{
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"eval_loss": 4.
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"eval_accuracy": 0.
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"eval_f1": 0.
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"eval_runtime": 0.
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"eval_samples_per_second":
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"eval_steps_per_second":
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"epoch": 5.0
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}
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{
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"eval_loss": 4.868948936462402,
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"eval_accuracy": 0.35,
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"eval_f1": 0.05185185185185185,
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"eval_runtime": 0.1086,
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"eval_samples_per_second": 184.157,
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"eval_steps_per_second": 9.208,
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"epoch": 5.0
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}
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model.safetensors
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