clincolnoz commited on
Commit
1de3384
1 Parent(s): 06b0bec

correct weights

Browse files
README.md CHANGED
@@ -5,14 +5,14 @@ metrics:
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  - f1
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  - accuracy
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  model-index:
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- - name: final-lr2e-5-bs16
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  results: []
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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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- # final-lr2e-5-bs16
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  This model is a fine-tuned version of [clincolnoz/MoreSexistBERT](https://huggingface.co/clincolnoz/MoreSexistBERT) on an unknown dataset.
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  It achieves the following results on the evaluation set:
 
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  - f1
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  - accuracy
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  model-index:
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+ - name: final-lr2e-5-bs16-fp16-2
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  results: []
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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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+ # final-lr2e-5-bs16-fp16-2
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  This model is a fine-tuned version of [clincolnoz/MoreSexistBERT](https://huggingface.co/clincolnoz/MoreSexistBERT) on an unknown dataset.
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  It achieves the following results on the evaluation set:
all_results.json CHANGED
@@ -8,13 +8,13 @@
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  "eval_f1_macro": 0.8461404562716657,
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  "eval_f1_weighted": 0.886848806675738,
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  "eval_loss": 0.33370330929756165,
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- "eval_runtime": 9.6197,
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  "eval_samples": 4000,
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- "eval_samples_per_second": 415.813,
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- "eval_steps_per_second": 25.988,
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  "train_loss": 0.276834108988444,
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- "train_runtime": 437.8665,
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  "train_samples": 16000,
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- "train_samples_per_second": 109.622,
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- "train_steps_per_second": 6.851
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  }
 
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  "eval_f1_macro": 0.8461404562716657,
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  "eval_f1_weighted": 0.886848806675738,
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  "eval_loss": 0.33370330929756165,
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  "eval_samples": 4000,
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+ "eval_steps_per_second": 25.962,
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  "train_loss": 0.276834108988444,
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+ "train_runtime": 431.6054,
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  "train_samples": 16000,
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+ "train_samples_per_second": 111.213,
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+ "train_steps_per_second": 6.951
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  }
eval_results.json CHANGED
@@ -8,8 +8,8 @@
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  "eval_f1_macro": 0.8461404562716657,
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  "eval_f1_weighted": 0.886848806675738,
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  "eval_loss": 0.33370330929756165,
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- "eval_runtime": 9.6197,
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  "eval_samples": 4000,
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- "eval_samples_per_second": 415.813,
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- "eval_steps_per_second": 25.988
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  }
 
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  "eval_f1_macro": 0.8461404562716657,
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  "eval_f1_weighted": 0.886848806675738,
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  "eval_loss": 0.33370330929756165,
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+ "eval_runtime": 9.6296,
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  "eval_samples": 4000,
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+ "eval_samples_per_second": 415.386,
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+ "eval_steps_per_second": 25.962
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  }
predict_results_None.txt CHANGED
The diff for this file is too large to render. See raw diff
 
train_results.json CHANGED
@@ -1,8 +1,8 @@
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  {
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  "epoch": 3.0,
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  "train_loss": 0.276834108988444,
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- "train_runtime": 437.8665,
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  "train_samples": 16000,
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- "train_samples_per_second": 109.622,
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- "train_steps_per_second": 6.851
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  }
 
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  {
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  "epoch": 3.0,
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  "train_loss": 0.276834108988444,
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+ "train_runtime": 431.6054,
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  "train_samples": 16000,
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+ "train_samples_per_second": 111.213,
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+ "train_steps_per_second": 6.951
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  }
trainer_state.json CHANGED
@@ -29,9 +29,9 @@
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  "eval_f1_macro": 0.8423411796129907,
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  "eval_f1_weighted": 0.8870995333532351,
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  "eval_loss": 0.2972576320171356,
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- "eval_samples_per_second": 413.25,
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  "step": 1000
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  },
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  {
@@ -56,9 +56,9 @@
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  "eval_f1_macro": 0.8447159555400194,
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  "eval_f1_weighted": 0.887180706758268,
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  "eval_loss": 0.3277442157268524,
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- "eval_runtime": 9.6941,
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- "eval_samples_per_second": 412.622,
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- "eval_steps_per_second": 25.789,
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  "step": 2000
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  },
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  {
@@ -83,9 +83,9 @@
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  "eval_f1_macro": 0.8461404562716657,
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  "eval_f1_weighted": 0.886848806675738,
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  "eval_loss": 0.33370330929756165,
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- "eval_runtime": 9.687,
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- "eval_samples_per_second": 412.925,
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- "eval_steps_per_second": 25.808,
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  "step": 3000
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  },
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  {
@@ -93,9 +93,9 @@
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  "step": 3000,
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  "total_flos": 1.262933065728e+16,
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  "train_loss": 0.276834108988444,
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- "train_runtime": 437.8665,
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- "train_samples_per_second": 109.622,
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- "train_steps_per_second": 6.851
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  }
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  ],
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  "max_steps": 3000,
 
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  "eval_f1_macro": 0.8423411796129907,
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  "eval_f1_weighted": 0.8870995333532351,
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  "eval_loss": 0.2972576320171356,
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  "step": 1000
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  {
 
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  "eval_f1_macro": 0.8447159555400194,
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  "eval_f1_weighted": 0.887180706758268,
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  "eval_loss": 0.3277442157268524,
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+ "eval_steps_per_second": 25.879,
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  "step": 2000
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  {
 
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  "eval_f1_macro": 0.8461404562716657,
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  "eval_f1_weighted": 0.886848806675738,
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  "step": 3000
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  },
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  {
 
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  "total_flos": 1.262933065728e+16,
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  "train_loss": 0.276834108988444,
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+ "train_steps_per_second": 6.951
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  }
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  ],
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  "max_steps": 3000,
training_args.bin CHANGED
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