gokulsrinivasagan
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README.md
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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/bert_base_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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- f1
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model-index:
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- name: bert_base_lda_5_v1_mrpc
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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 MRPC
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type: glue
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args: mrpc
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.6838235294117647
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- name: F1
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type: f1
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value: 0.8122270742358079
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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_lda_5_v1_mrpc
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This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_5_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_5_v1) on
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy: 0.
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- F1: 0.
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- Combined Score: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 256
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- eval_batch_size: 256
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- seed: 10
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Combined Score |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
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| 0.635 | 8.0 | 120 | 0.6259 | 0.6838 | 0.8122 | 0.7480 |
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| 0.63 | 9.0 | 135 | 0.6309 | 0.6838 | 0.8122 | 0.7480 |
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| 0.6355 | 10.0 | 150 | 0.6265 | 0.6838 | 0.8122 | 0.7480 |
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| 0.634 | 11.0 | 165 | 0.6277 | 0.6838 | 0.8122 | 0.7480 |
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### Framework versions
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---
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library_name: transformers
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base_model: gokulsrinivasagan/bert_base_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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- f1
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model-index:
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- name: bert_base_lda_5_v1_mrpc
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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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# bert_base_lda_5_v1_mrpc
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This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_5_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_5_v1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3058
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- Accuracy: 0.6569
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- F1: 0.7595
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- Combined Score: 0.7082
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 256
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- eval_batch_size: 256
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- seed: 10
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Combined Score |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
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| 0.6475 | 1.0 | 15 | 0.5919 | 0.6985 | 0.8099 | 0.7542 |
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| 0.5596 | 2.0 | 30 | 0.5821 | 0.7108 | 0.8040 | 0.7574 |
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| 0.4573 | 3.0 | 45 | 0.6319 | 0.6593 | 0.7549 | 0.7071 |
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| 0.3282 | 4.0 | 60 | 0.8021 | 0.6299 | 0.7156 | 0.6728 |
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| 0.1884 | 5.0 | 75 | 0.9919 | 0.6471 | 0.7517 | 0.6994 |
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| 0.0919 | 6.0 | 90 | 1.1951 | 0.6740 | 0.7679 | 0.7210 |
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| 0.0649 | 7.0 | 105 | 1.3058 | 0.6569 | 0.7595 | 0.7082 |
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### Framework versions
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logs/events.out.tfevents.1733309507.ki-g0008.1206925.2
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model.safetensors
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