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End of training

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  1. README.md +7 -7
  2. emissions.csv +1 -1
  3. model.safetensors +1 -1
README.md CHANGED
@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.8538
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- - Accuracy: 0.45
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- - F1: 0.0455
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  ## Model description
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@@ -53,10 +53,10 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 4.7783 | 1.0 | 23 | 4.3527 | 0.2625 | 0.0130 |
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- | 4.3145 | 2.0 | 46 | 4.0853 | 0.375 | 0.0368 |
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- | 4.1393 | 3.0 | 69 | 3.9154 | 0.45 | 0.0455 |
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- | 3.9761 | 4.0 | 92 | 3.8538 | 0.45 | 0.0455 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.9733
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+ - Accuracy: 0.2875
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+ - F1: 0.0219
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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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+ | 4.7546 | 1.0 | 23 | 4.3603 | 0.2375 | 0.0110 |
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+ | 4.3078 | 2.0 | 46 | 4.1267 | 0.2375 | 0.0110 |
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+ | 4.1223 | 3.0 | 69 | 4.0257 | 0.2375 | 0.0110 |
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+ | 4.0847 | 4.0 | 92 | 3.9733 | 0.2875 | 0.0219 |
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  ### Framework versions
emissions.csv CHANGED
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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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model.safetensors CHANGED
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