Model save
Browse files- README.md +86 -0
- pytorch_model.bin +1 -1
README.md
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---
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base_model: gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48
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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: hBERTv1_new_pretrain_w_init_48_ver2_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
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type: glue
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config: qqp
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split: validation
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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: 0.7089290131090774
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- name: F1
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type: f1
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value: 0.6289335939963422
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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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should probably proofread and complete it, then remove this comment. -->
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# hBERTv1_new_pretrain_w_init_48_ver2_qqp
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This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48](https://huggingface.co/gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48) on the glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5789
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- Accuracy: 0.7089
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- F1: 0.6289
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- Combined Score: 0.6689
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 4e-05
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- train_batch_size: 64
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- eval_batch_size: 64
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- seed: 10
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- distributed_type: multi-GPU
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 15
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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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| 0.5279 | 1.0 | 5686 | 0.4918 | 0.7601 | 0.6952 | 0.7277 |
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| 0.4826 | 2.0 | 11372 | 0.5367 | 0.7644 | 0.6556 | 0.7100 |
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| 0.4943 | 3.0 | 17058 | 0.5223 | 0.7594 | 0.6440 | 0.7017 |
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| 0.492 | 4.0 | 22744 | 0.5379 | 0.7600 | 0.6465 | 0.7032 |
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| 0.505 | 5.0 | 28430 | 0.5431 | 0.7423 | 0.6507 | 0.6965 |
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| 0.5428 | 6.0 | 34116 | 0.5789 | 0.7089 | 0.6289 | 0.6689 |
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### Framework versions
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- Transformers 4.34.0
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- Pytorch 1.14.0a0+410ce96
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- Datasets 2.14.5
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- Tokenizers 0.14.1
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pytorch_model.bin
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 481099229
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version https://git-lfs.github.com/spec/v1
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oid sha256:e545f96399bd889a370e509abe955f3cb051d468957355b65900c0a00cbbff81
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size 481099229
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