Model save
Browse files- README.md +83 -0
- pytorch_model.bin +1 -1
README.md
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---
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base_model: gokuls/bert_12_layer_model_v2_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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model-index:
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- name: hBERTv2_new_pretrain_w_init_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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<!-- 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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# hBERTv2_new_pretrain_w_init_48_ver2_mnli
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This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2_complete_training_new_wt_init_48](https://huggingface.co/gokuls/bert_12_layer_model_v2_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: 1.0986
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- Accuracy: 0.3182
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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 |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 1.1017 | 1.0 | 6136 | 1.0992 | 0.3182 |
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| 1.0988 | 2.0 | 12272 | 1.0993 | 0.3182 |
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| 1.0987 | 3.0 | 18408 | 1.0986 | 0.3182 |
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| 1.0987 | 4.0 | 24544 | 1.0985 | 0.3545 |
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| 1.0987 | 5.0 | 30680 | 1.0986 | 0.3182 |
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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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### 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 476526509
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version https://git-lfs.github.com/spec/v1
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oid sha256:9a2c8d00f7db8effea02b9bb7227d79053f66c5d1f60f40388925c68bd0db3e8
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size 476526509
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