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Training in progress epoch 0
Browse files- README.md +55 -0
- config.json +1 -1
- logs/train/events.out.tfevents.1650908224.matt-TRX40-AORUS-PRO-WIFI.66086.0.v2 +3 -0
- logs/train/events.out.tfevents.1650908333.matt-TRX40-AORUS-PRO-WIFI.66086.1.v2 +3 -0
- logs/train/events.out.tfevents.1650908537.matt-TRX40-AORUS-PRO-WIFI.66086.2.v2 +3 -0
- logs/train/events.out.tfevents.1650908582.matt-TRX40-AORUS-PRO-WIFI.66086.3.v2 +3 -0
- logs/train/events.out.tfevents.1650908775.matt-TRX40-AORUS-PRO-WIFI.66086.4.v2 +3 -0
- logs/validation/events.out.tfevents.1650909522.matt-TRX40-AORUS-PRO-WIFI.66086.5.v2 +3 -0
- tf_model.h5 +1 -1
- tokenizer.json +0 -0
README.md
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---
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license: apache-2.0
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tags:
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- generated_from_keras_callback
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model-index:
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- name: Rocketknight1/bert-base-uncased-finetuned-swag
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# Rocketknight1/bert-base-uncased-finetuned-swag
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.8360
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- Train Accuracy: 0.6631
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- Validation Loss: 0.5885
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- Validation Accuracy: 0.7706
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- Epoch: 0
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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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- optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 9192, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
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- training_precision: float32
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### Training results
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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| 0.8360 | 0.6631 | 0.5885 | 0.7706 | 0 |
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### Framework versions
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- Transformers 4.18.0.dev0
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- TensorFlow 2.8.0-rc0
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- Datasets 2.0.1.dev0
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- Tokenizers 0.11.0
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config.json
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"transformers_version": "4.
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"transformers_version": "4.18.0.dev0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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logs/train/events.out.tfevents.1650908224.matt-TRX40-AORUS-PRO-WIFI.66086.0.v2
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logs/train/events.out.tfevents.1650908333.matt-TRX40-AORUS-PRO-WIFI.66086.1.v2
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logs/train/events.out.tfevents.1650908537.matt-TRX40-AORUS-PRO-WIFI.66086.2.v2
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logs/train/events.out.tfevents.1650908582.matt-TRX40-AORUS-PRO-WIFI.66086.3.v2
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logs/train/events.out.tfevents.1650908775.matt-TRX40-AORUS-PRO-WIFI.66086.4.v2
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logs/validation/events.out.tfevents.1650909522.matt-TRX40-AORUS-PRO-WIFI.66086.5.v2
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tf_model.h5
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tokenizer.json
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