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README.md ADDED
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+ ---
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+ base_model: gokuls/bert_12_layer_model_v1_complete_training_new_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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+ model-index:
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+ - name: hBERTv1_new_pretrain_48_ver2_mnli
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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: mnli
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+ split: validation_matched
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+ args: mnli
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.31818644931227713
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+ ---
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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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+
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+ # hBERTv1_new_pretrain_48_ver2_mnli
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+
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+ This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1_complete_training_new_48](https://huggingface.co/gokuls/bert_12_layer_model_v1_complete_training_new_48) on the glue dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.0986
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+ - Accuracy: 0.3182
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 1.1013 | 1.0 | 6136 | 1.0990 | 0.3182 |
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+ | 1.0988 | 2.0 | 12272 | 1.0994 | 0.3182 |
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+ | 1.0987 | 3.0 | 18408 | 1.0986 | 0.3182 |
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+ | 1.0986 | 4.0 | 24544 | 1.0986 | 0.3545 |
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+ | 1.0986 | 5.0 | 30680 | 1.0986 | 0.3545 |
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+ | 1.0986 | 6.0 | 36816 | 1.0986 | 0.3274 |
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+ | 1.0986 | 7.0 | 42952 | 1.0986 | 0.3545 |
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+ | 1.0986 | 8.0 | 49088 | 1.0986 | 0.3545 |
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+ | 1.0986 | 9.0 | 55224 | 1.0986 | 0.3182 |
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+
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+
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+ ### Framework versions
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+
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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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