clincolnoz commited on
Commit
801d89b
1 Parent(s): 2f6ceea

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 [GroNLP/hateBERT](https://huggingface.co/GroNLP/hateBERT) 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 [GroNLP/hateBERT](https://huggingface.co/GroNLP/hateBERT) 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": 0.8456692644535684,
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  "eval_f1_weighted": 0.8868003346108867,
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  "eval_loss": 0.42191165685653687,
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- "eval_runtime": 9.6157,
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  "eval_samples": 4000,
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- "eval_samples_per_second": 415.988,
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- "eval_steps_per_second": 25.999,
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  "train_loss": 0.25008199564615885,
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- "train_runtime": 436.7193,
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  "train_samples": 16000,
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- "train_samples_per_second": 109.91,
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- "train_steps_per_second": 6.869
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  }
 
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  "eval_f1_macro": 0.8456692644535684,
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  "eval_f1_weighted": 0.8868003346108867,
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  "eval_loss": 0.42191165685653687,
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+ "eval_runtime": 9.5988,
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  "eval_samples": 4000,
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+ "eval_samples_per_second": 416.717,
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+ "eval_steps_per_second": 26.045,
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  "train_loss": 0.25008199564615885,
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+ "train_runtime": 430.1638,
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  "train_samples": 16000,
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+ "train_samples_per_second": 111.585,
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+ "train_steps_per_second": 6.974
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  }
eval_results.json CHANGED
@@ -8,8 +8,8 @@
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  "eval_f1_macro": 0.8456692644535684,
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  "eval_f1_weighted": 0.8868003346108867,
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  "eval_loss": 0.42191165685653687,
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- "eval_runtime": 9.6157,
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  "eval_samples": 4000,
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- "eval_samples_per_second": 415.988,
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- "eval_steps_per_second": 25.999
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  }
 
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  "eval_f1_macro": 0.8456692644535684,
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  "eval_f1_weighted": 0.8868003346108867,
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  "eval_loss": 0.42191165685653687,
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+ "eval_runtime": 9.5988,
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  "eval_samples": 4000,
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+ "eval_samples_per_second": 416.717,
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+ "eval_steps_per_second": 26.045
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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": 0.25008199564615885,
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- "train_runtime": 436.7193,
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  "train_samples": 16000,
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- "train_samples_per_second": 109.91,
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- "train_steps_per_second": 6.869
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  }
 
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  {
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  "epoch": 3.0,
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  "train_loss": 0.25008199564615885,
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  "train_samples": 16000,
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+ "train_steps_per_second": 6.974
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  }
trainer_state.json CHANGED
@@ -29,9 +29,9 @@
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  "eval_f1_macro": 0.8322651270370958,
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  "eval_f1_weighted": 0.8811581651570527,
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  "eval_loss": 0.28936144709587097,
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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": 0.8404912868365435,
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  "eval_f1_weighted": 0.883022889500339,
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  "eval_loss": 0.3370012938976288,
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- "eval_runtime": 9.6971,
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- "eval_samples_per_second": 412.493,
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- "eval_steps_per_second": 25.781,
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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": 0.8456692644535684,
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  "eval_f1_weighted": 0.8868003346108867,
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  "eval_loss": 0.42191165685653687,
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- "eval_samples_per_second": 413.351,
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- "eval_steps_per_second": 25.834,
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  "step": 3000
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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": 0.25008199564615885,
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- "train_samples_per_second": 109.91,
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- "train_steps_per_second": 6.869
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  }
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  ],
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  "max_steps": 3000,
 
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  "eval_f1_macro": 0.8322651270370958,
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  "eval_f1_weighted": 0.8811581651570527,
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  "eval_loss": 0.28936144709587097,
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  {
 
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  "eval_f1_macro": 0.8404912868365435,
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  "eval_f1_weighted": 0.883022889500339,
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  "eval_loss": 0.3370012938976288,
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  "step": 2000
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  {
 
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  "step": 3000
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  {
 
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  "total_flos": 1.262933065728e+16,
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  "train_loss": 0.25008199564615885,
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  }
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  ],
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  "max_steps": 3000,
training_args.bin CHANGED
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