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End of training
Browse files- README.md +72 -0
- adapter_model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: bert-base-uncased
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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-base-uncased-wnli-ia3-epochs-10-lr-5e-05
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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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should probably proofread and complete it, then remove this comment. -->
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# bert-base-uncased-wnli-ia3-epochs-10-lr-5e-05
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6952
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- Accuracy: 0.48
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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: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 28
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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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- lr_scheduler_warmup_ratio: 0.06
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- num_epochs: 10
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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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| No log | 1.0 | 17 | 0.6792 | 0.57 |
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| No log | 2.0 | 34 | 0.6907 | 0.57 |
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| No log | 3.0 | 51 | 0.7020 | 0.43 |
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| No log | 4.0 | 68 | 0.7008 | 0.44 |
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| No log | 5.0 | 85 | 0.6960 | 0.48 |
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| No log | 6.0 | 102 | 0.6953 | 0.47 |
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| No log | 7.0 | 119 | 0.6933 | 0.5 |
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| No log | 8.0 | 136 | 0.6944 | 0.5 |
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| No log | 9.0 | 153 | 0.6952 | 0.48 |
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| No log | 10.0 | 170 | 0.6952 | 0.48 |
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### Framework versions
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- Transformers 4.32.0.dev0
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- Pytorch 2.0.1
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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adapter_model.safetensors
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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 270552
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version https://git-lfs.github.com/spec/v1
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oid sha256:8b92de28bec565ef7a3fee4626f16c59cf212cb380a22b6e5b1d3f7a90715cf8
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size 270552
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