svenbl80 commited on
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Training in progress epoch 0

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README.md ADDED
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+ ---
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+ license: mit
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+ tags:
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+ - generated_from_keras_callback
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+ model-index:
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+ - name: svenbl80/roberta-base-finetuned-new-mnli-run-5
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+ results: []
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+ ---
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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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+
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+ # svenbl80/roberta-base-finetuned-new-mnli-run-5
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+
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+ This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Train Loss: 0.4561
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+ - Validation Loss: 0.3859
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+ - Train Accuracy: 0.8565
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+ - Epoch: 0
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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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+ - optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 245430, '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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+
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+ ### Training results
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+
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+ | Train Loss | Validation Loss | Train Accuracy | Epoch |
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+ |:----------:|:---------------:|:--------------:|:-----:|
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+ | 0.4561 | 0.3859 | 0.8565 | 0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.28.0
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+ - TensorFlow 2.9.1
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+ - Datasets 2.15.0
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+ - Tokenizers 0.13.3
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+ "_name_or_path": "roberta-base",
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+ "architectures": [
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+ "RobertaForSequenceClassification"
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+ ],
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+ "hidden_act": "gelu",
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+ "id2label": {
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+ },
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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 514,
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+ "model_type": "roberta",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 1,
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+ "position_embedding_type": "absolute",
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+ "transformers_version": "4.28.0",
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ "vocab_size": 50265
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+ }
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