End of training
Browse files- README.md +19 -4
- all_results.json +11 -11
- eval_results.json +6 -6
- logs/events.out.tfevents.1733310297.ki-g0008.1206098.5 +3 -0
- train_results.json +6 -6
- trainer_state.json +68 -148
README.md
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---
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library_name: transformers
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base_model: gokulsrinivasagan/distilbert_lda_5_v1
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: distilbert_lda_5_v1_qnli
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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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# distilbert_lda_5_v1_qnli
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This model is a fine-tuned version of [gokulsrinivasagan/distilbert_lda_5_v1](https://huggingface.co/gokulsrinivasagan/distilbert_lda_5_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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- Accuracy: 0.
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## Model description
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---
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library_name: transformers
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language:
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- en
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base_model: gokulsrinivasagan/distilbert_lda_5_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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- accuracy
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model-index:
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- name: distilbert_lda_5_v1_qnli
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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 QNLI
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type: glue
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args: qnli
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8434925864909391
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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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# distilbert_lda_5_v1_qnli
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This model is a fine-tuned version of [gokulsrinivasagan/distilbert_lda_5_v1](https://huggingface.co/gokulsrinivasagan/distilbert_lda_5_v1) on the GLUE QNLI dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3706
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- Accuracy: 0.8435
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## Model description
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all_results.json
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