clincolnoz
commited on
Commit
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8fa6cc5
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Parent(s):
887c4ac
correct weights
Browse files- README.md +2 -2
- all_results.json +6 -6
- eval_results.json +3 -3
- predict_results_None.txt +0 -0
- train_results.json +3 -3
- trainer_state.json +12 -12
- training_args.bin +1 -1
README.md
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@@ -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/LessSexistBERT](https://huggingface.co/clincolnoz/LessSexistBERT) 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/LessSexistBERT](https://huggingface.co/clincolnoz/LessSexistBERT) on an unknown dataset.
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It achieves the following results on the evaluation set:
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all_results.json
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"eval_f1_macro": 0.8374201959393394,
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"eval_f1_weighted": 0.8806450852201921,
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"eval_loss": 0.3457934856414795,
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-
"eval_runtime": 9.
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"eval_samples": 4000,
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-
"eval_samples_per_second": 415.
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"eval_steps_per_second": 25.
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"train_loss": 0.27966182454427085,
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-
"train_runtime":
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"train_samples": 16000,
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-
"train_samples_per_second":
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"train_steps_per_second": 6.
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}
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"eval_f1_macro": 0.8374201959393394,
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"eval_f1_weighted": 0.8806450852201921,
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"eval_loss": 0.3457934856414795,
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"eval_runtime": 9.6249,
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"eval_samples": 4000,
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"eval_samples_per_second": 415.588,
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"eval_steps_per_second": 25.974,
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"train_loss": 0.27966182454427085,
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"train_runtime": 430.7509,
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"train_samples": 16000,
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"train_samples_per_second": 111.433,
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"train_steps_per_second": 6.965
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}
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eval_results.json
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@@ -8,8 +8,8 @@
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"eval_f1_macro": 0.8374201959393394,
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"eval_f1_weighted": 0.8806450852201921,
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"eval_loss": 0.3457934856414795,
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-
"eval_runtime": 9.
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"eval_samples": 4000,
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-
"eval_samples_per_second": 415.
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-
"eval_steps_per_second": 25.
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}
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"eval_f1_macro": 0.8374201959393394,
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"eval_f1_weighted": 0.8806450852201921,
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"eval_loss": 0.3457934856414795,
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+
"eval_runtime": 9.6249,
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"eval_samples": 4000,
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"eval_samples_per_second": 415.588,
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"eval_steps_per_second": 25.974
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}
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predict_results_None.txt
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The diff for this file is too large to render.
See raw diff
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train_results.json
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{
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"epoch": 3.0,
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"train_loss": 0.27966182454427085,
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-
"train_runtime":
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"train_samples": 16000,
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"train_samples_per_second":
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"train_steps_per_second": 6.
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}
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{
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"epoch": 3.0,
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"train_loss": 0.27966182454427085,
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"train_runtime": 430.7509,
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"train_samples": 16000,
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"train_samples_per_second": 111.433,
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"train_steps_per_second": 6.965
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}
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trainer_state.json
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"eval_f1_macro": 0.8256385630330887,
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"eval_f1_weighted": 0.8748468477738904,
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"eval_loss": 0.3010723888874054,
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"eval_runtime": 9.
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"eval_samples_per_second": 414.
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"eval_steps_per_second": 25.
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"step": 1000
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},
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{
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"eval_f1_macro": 0.84110534680508,
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"eval_f1_weighted": 0.8848438807534127,
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"eval_loss": 0.3121766746044159,
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"eval_runtime": 9.
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"eval_samples_per_second":
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"eval_steps_per_second": 25.
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"step": 2000
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},
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{
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"eval_f1_macro": 0.8374201959393394,
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"eval_f1_weighted": 0.8806450852201921,
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"eval_loss": 0.3457934856414795,
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"eval_runtime": 9.
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"eval_samples_per_second":
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"eval_steps_per_second": 25.
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"step": 3000
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},
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{
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"step": 3000,
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"total_flos": 1.262933065728e+16,
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"train_loss": 0.27966182454427085,
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"train_runtime":
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"train_samples_per_second":
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"train_steps_per_second": 6.
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}
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],
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"max_steps": 3000,
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"eval_f1_macro": 0.8256385630330887,
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"eval_f1_weighted": 0.8748468477738904,
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"eval_loss": 0.3010723888874054,
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"eval_runtime": 9.6596,
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"eval_samples_per_second": 414.097,
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"eval_steps_per_second": 25.881,
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"step": 1000
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},
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{
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"eval_f1_macro": 0.84110534680508,
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"eval_loss": 0.3121766746044159,
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"eval_runtime": 9.6642,
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"eval_samples_per_second": 413.897,
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"eval_steps_per_second": 25.869,
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"step": 2000
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},
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{
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"eval_f1_macro": 0.8374201959393394,
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"eval_steps_per_second": 25.866,
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{
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"step": 3000,
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"total_flos": 1.262933065728e+16,
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"train_loss": 0.27966182454427085,
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"train_runtime": 430.7509,
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"train_samples_per_second": 111.433,
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"train_steps_per_second": 6.965
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"max_steps": 3000,
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 3643
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version https://git-lfs.github.com/spec/v1
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size 3643
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