vedantjumle
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Training in progress epoch 0
Browse files- README.md +5 -34
- config.json +1 -1
- tf_model.h5 +1 -1
README.md
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This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss:
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- Validation Loss:
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- Train Accuracy: 0.
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- Epoch:
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## Model description
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| Train Loss | Validation Loss | Train Accuracy | Epoch |
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| 4.8091 | 4.5518 | 0.19 | 1 |
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| 4.2565 | 3.9529 | 0.4833 | 2 |
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| 3.5496 | 3.3870 | 0.6733 | 3 |
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| 2.9320 | 2.8781 | 0.76 | 4 |
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| 2.3851 | 2.4109 | 0.8233 | 5 |
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| 1.8879 | 2.0233 | 0.8633 | 6 |
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| 1.4473 | 1.6912 | 0.8667 | 7 |
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| 1.1197 | 1.4349 | 0.8867 | 8 |
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| 0.8654 | 1.2351 | 0.8767 | 9 |
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| 0.6786 | 1.1051 | 0.8933 | 10 |
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| 0.5352 | 0.9739 | 0.8967 | 11 |
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| 0.4209 | 0.8814 | 0.8967 | 12 |
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| 0.3455 | 0.8079 | 0.8933 | 13 |
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| 0.2878 | 0.7635 | 0.8967 | 14 |
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| 0.2364 | 0.7142 | 0.9 | 15 |
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| 0.2115 | 0.6899 | 0.9 | 16 |
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| 0.1827 | 0.6554 | 0.9067 | 17 |
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| 0.1625 | 0.6388 | 0.8967 | 18 |
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| 0.1422 | 0.6158 | 0.9033 | 19 |
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| 0.1321 | 0.6181 | 0.9 | 20 |
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| 0.1187 | 0.5910 | 0.8933 | 21 |
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| 0.1072 | 0.5873 | 0.8967 | 22 |
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| 0.0988 | 0.5725 | 0.8967 | 23 |
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| 0.0902 | 0.5619 | 0.8967 | 24 |
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| 0.0844 | 0.5506 | 0.8967 | 25 |
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| 0.0776 | 0.5489 | 0.89 | 26 |
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| 0.0724 | 0.5411 | 0.8933 | 27 |
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| 0.0687 | 0.5280 | 0.8933 | 28 |
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| 0.0645 | 0.5256 | 0.89 | 29 |
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### Framework versions
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This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 5.1229
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- Validation Loss: 5.0343
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- Train Accuracy: 0.0067
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- Epoch: 0
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## Model description
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| Train Loss | Validation Loss | Train Accuracy | Epoch |
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|:----------:|:---------------:|:--------------:|:-----:|
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| 5.1229 | 5.0343 | 0.0067 | 0 |
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### Framework versions
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config.json
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"classifier_dropout": 0.5,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.
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"hidden_size": 1024,
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"id2label": {
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"0": "LABEL_0",
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"classifier_dropout": 0.5,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.4,
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"hidden_size": 1024,
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"id2label": {
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"0": "LABEL_0",
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 1341734528
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version https://git-lfs.github.com/spec/v1
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oid sha256:ceb1cb66d5c12908f681272d87fa414f0da25747c3d3938af4c0d693866738fe
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size 1341734528
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