gokulsrinivasagan
commited on
Model save
Browse files- README.md +16 -33
- logs/events.out.tfevents.1733311165.ki-g0008.1206925.6 +2 -2
- model.safetensors +1 -1
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_qqp
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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 QQP
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type: glue
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args: qqp
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.6318327974276527
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- name: F1
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type: f1
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value: 0.0
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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_lda_5_v1_qqp
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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: 0.
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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 results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1
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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_qqp
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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_qqp
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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: 0.5420
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- Accuracy: 0.8560
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- F1: 0.8002
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- Combined Score: 0.8281
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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 results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Combined Score |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------------:|
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| 0.449 | 1.0 | 1422 | 0.3986 | 0.8140 | 0.7293 | 0.7717 |
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| 0.3328 | 2.0 | 2844 | 0.3662 | 0.8379 | 0.7796 | 0.8087 |
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| 0.2532 | 3.0 | 4266 | 0.3697 | 0.8430 | 0.7975 | 0.8202 |
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| 0.1908 | 4.0 | 5688 | 0.4016 | 0.8528 | 0.7973 | 0.8250 |
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| 0.1448 | 5.0 | 7110 | 0.4637 | 0.8542 | 0.7932 | 0.8237 |
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| 0.112 | 6.0 | 8532 | 0.4905 | 0.8572 | 0.8037 | 0.8304 |
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| 0.0917 | 7.0 | 9954 | 0.5420 | 0.8560 | 0.8002 | 0.8281 |
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### Framework versions
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logs/events.out.tfevents.1733311165.ki-g0008.1206925.6
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model.safetensors
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