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  1. README.md +56 -0
  2. config.json +38 -0
  3. tf_model.h5 +3 -0
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: europython-imdb
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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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+ # europython-imdb
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+
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+ This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Train Loss: 0.1802
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+ - Train Accuracy: 0.9293
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+ - Validation Loss: 0.2424
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+ - Validation Accuracy: 0.9115
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+ - Epoch: 1
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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': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, '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 | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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+ |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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+ | 0.2760 | 0.8860 | 0.2403 | 0.9035 | 0 |
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+ | 0.1802 | 0.9293 | 0.2424 | 0.9115 | 1 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.20.1
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+ - TensorFlow 2.8.2
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+ - Datasets 2.3.2
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+ - Tokenizers 0.12.1
config.json ADDED
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+ {
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+ "_name_or_path": "microsoft/deberta-v3-base",
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+ "architectures": [
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+ "DebertaV2ForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "Negative",
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+ "1": "Positive"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "layer_norm_eps": 1e-07,
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+ "max_position_embeddings": 512,
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+ "max_relative_positions": -1,
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+ "model_type": "deberta-v2",
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+ "norm_rel_ebd": "layer_norm",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "pooler_dropout": 0,
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+ "pooler_hidden_act": "gelu",
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+ "pooler_hidden_size": 768,
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+ "pos_att_type": [
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+ "p2c",
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+ "c2p"
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+ ],
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+ "position_biased_input": false,
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+ "position_buckets": 256,
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+ "relative_attention": true,
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+ "share_att_key": true,
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+ "transformers_version": "4.20.1",
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+ "type_vocab_size": 0,
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+ "vocab_size": 128100
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+ }
tf_model.h5 ADDED
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