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Training in progress epoch 0

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  1. README.md +54 -0
  2. config.json +28 -0
  3. special_tokens_map.json +19 -0
  4. tf_model.h5 +3 -0
  5. tokenizer.json +0 -0
  6. tokenizer_config.json +23 -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: Aliissa99/test2
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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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+ # Aliissa99/test2
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+
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+ This model is a fine-tuned version of [almanach/camembert-bio-base](https://huggingface.co/almanach/camembert-bio-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Train Loss: 1.3864
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+ - Validation Loss: 1.3856
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+ - Train Accuracy: 0.2805
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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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 740, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, '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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+ | 1.3864 | 1.3856 | 0.2805 | 0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.30.2
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+ - TensorFlow 2.12.0
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+ - Datasets 2.13.1
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+ - Tokenizers 0.13.3
config.json ADDED
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+ {
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+ "_name_or_path": "almanach/camembert-bio-base",
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+ "architectures": [
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+ "CamembertForMultipleChoice"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "bos_token_id": 5,
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+ "classifier_dropout": null,
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+ "eos_token_id": 6,
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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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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 514,
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+ "model_type": "camembert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "output_past": true,
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+ "pad_token_id": 1,
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+ "position_embedding_type": "absolute",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.30.2",
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ "vocab_size": 32005
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+ }
special_tokens_map.json ADDED
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+ {
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+ "additional_special_tokens": [
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+ "<s>NOTUSED",
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+ "</s>NOTUSED"
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+ ],
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+ "bos_token": "<s>",
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+ "cls_token": "<s>",
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+ "eos_token": "</s>",
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+ "mask_token": {
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+ "content": "<mask>",
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+ "lstrip": true,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false
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+ },
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+ "pad_token": "<pad>",
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+ "sep_token": "</s>",
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+ "unk_token": "<unk>"
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+ }
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ {
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+ "additional_special_tokens": [
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+ "<s>NOTUSED",
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+ "</s>NOTUSED"
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+ ],
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+ "bos_token": "<s>",
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+ "clean_up_tokenization_spaces": true,
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+ "cls_token": "<s>",
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+ "eos_token": "</s>",
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+ "mask_token": {
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+ "__type": "AddedToken",
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+ "lstrip": true,
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+ "normalized": true,
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+ "single_word": false
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+ },
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+ "model_max_length": 512,
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+ "pad_token": "<pad>",
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+ "sep_token": "</s>",
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+ "tokenizer_class": "CamembertTokenizer",
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+ "unk_token": "<unk>"
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+ }