gokulsrinivasagan
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Browse files- README.md +12 -31
- logs/events.out.tfevents.1733327395.ki-g0008.1208741.32 +3 -0
- model.safetensors +1 -1
- training_args.bin +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_tiny_lda_100_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: bert_tiny_lda_100_v1_wnli
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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 WNLI
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type: glue
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args: wnli
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.5633802816901409
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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_tiny_lda_100_v1_wnli
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This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_100_v1](https://huggingface.co/gokulsrinivasagan/bert_tiny_lda_100_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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### 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 |
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| 0.6957 | 8.0 | 24 | 0.7037 | 0.4366 |
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| 0.699 | 9.0 | 27 | 0.6946 | 0.4366 |
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| 0.6936 | 10.0 | 30 | 0.6876 | 0.5634 |
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| 0.6948 | 11.0 | 33 | 0.6945 | 0.4366 |
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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_tiny_lda_100_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: bert_tiny_lda_100_v1_wnli
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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_tiny_lda_100_v1_wnli
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This model is a fine-tuned version of [gokulsrinivasagan/bert_tiny_lda_100_v1](https://huggingface.co/gokulsrinivasagan/bert_tiny_lda_100_v1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7216
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- Accuracy: 0.2958
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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 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.7082 | 1.0 | 3 | 0.7108 | 0.3521 |
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| 0.7024 | 2.0 | 6 | 0.7026 | 0.5634 |
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| 0.7001 | 3.0 | 9 | 0.7234 | 0.3521 |
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| 0.6938 | 4.0 | 12 | 0.7066 | 0.5070 |
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| 0.6922 | 5.0 | 15 | 0.7106 | 0.4225 |
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| 0.6958 | 6.0 | 18 | 0.7257 | 0.3662 |
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| 0.6891 | 7.0 | 21 | 0.7216 | 0.2958 |
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### Framework versions
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logs/events.out.tfevents.1733327395.ki-g0008.1208741.32
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model.safetensors
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training_args.bin
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