End of training
Browse files- README.md +23 -5
- all_results.json +16 -0
- eval_results.json +10 -0
- logs/events.out.tfevents.1744812195.s_004_m +3 -0
- train_results.json +9 -0
- trainer_state.json +132 -0
README.md
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---
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base_model: Hartunka/tiny_bert_km_50_v1
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tags:
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- generated_from_trainer
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metrics:
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- matthews_correlation
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- accuracy
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model-index:
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- name: tiny_bert_km_50_v1_cola
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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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# tiny_bert_km_50_v1_cola
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This model is a fine-tuned version of [Hartunka/tiny_bert_km_50_v1](https://huggingface.co/Hartunka/tiny_bert_km_50_v1) on
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Matthews Correlation: 0.
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- Accuracy: 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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base_model: Hartunka/tiny_bert_km_50_v1
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tags:
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- generated_from_trainer
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datasets:
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- glue
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metrics:
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- matthews_correlation
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- accuracy
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model-index:
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- name: tiny_bert_km_50_v1_cola
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results:
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- task:
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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 COLA
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type: glue
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args: cola
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metrics:
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- name: Matthews Correlation
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type: matthews_correlation
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value: 0.0
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- name: Accuracy
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type: accuracy
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value: 0.6912751793861389
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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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# tiny_bert_km_50_v1_cola
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This model is a fine-tuned version of [Hartunka/tiny_bert_km_50_v1](https://huggingface.co/Hartunka/tiny_bert_km_50_v1) on the GLUE COLA dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6216
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- Matthews Correlation: 0.0
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- Accuracy: 0.6913
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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": 9995.753,
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"train_steps_per_second": 39.745
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}
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eval_results.json
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}
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logs/events.out.tfevents.1744812195.s_004_m
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version https://git-lfs.github.com/spec/v1
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oid sha256:caf7d19db5c9f1cc513d69b4006f4ad069749da343243d41f4b01ef77e9c4a33
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size 40
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train_results.json
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}
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trainer_state.json
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