End of training
Browse files- README.md +9 -7
- all_results.json +16 -0
- eval_results.json +11 -0
- logs/events.out.tfevents.1674781721.serv-3331.2425873.20 +3 -0
- train_results.json +8 -0
- trainer_state.json +297 -0
README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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name: Text Classification
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type: text-classification
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dataset:
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name:
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type: glue
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config: stsb
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split: validation
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metrics:
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- name: Spearmanr
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type: spearmanr
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value: 0.
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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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# bert-base-uncased-stsb
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Pearson: 0.
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- Spearmanr: 0.
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- Combined Score: 0.
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## Model description
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---
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language:
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- en
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license: apache-2.0
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tags:
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- generated_from_trainer
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name: Text Classification
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type: text-classification
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dataset:
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name: GLUE STSB
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type: glue
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config: stsb
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split: validation
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metrics:
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- name: Spearmanr
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type: spearmanr
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value: 0.8872483552831365
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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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# bert-base-uncased-stsb
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+
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the GLUE STSB dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4676
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- Pearson: 0.8901
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- Spearmanr: 0.8872
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- Combined Score: 0.8887
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## Model description
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all_results.json
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{
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"train_samples_per_second": 676.34,
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"train_steps_per_second": 5.294
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}
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eval_results.json
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{
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"epoch": 16.0,
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"eval_runtime": 1.807,
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"eval_samples": 1500,
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"eval_samples_per_second": 830.118,
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"eval_spearmanr": 0.8872483552831365,
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"eval_steps_per_second": 6.641
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}
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logs/events.out.tfevents.1674781721.serv-3331.2425873.20
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version https://git-lfs.github.com/spec/v1
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oid sha256:7dd67f035c8e3ce3c5777f135f019962c341e0d8b3142a4a67bb9f56a618891a
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size 473
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train_results.json
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{
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"epoch": 16.0,
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}
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trainer_state.json
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