Upload folder using huggingface_hub
Browse files- README.md +6 -6
- config.json +16 -19
- merges.txt +0 -0
- special_tokens_map.json +20 -6
- tf_model.h5 +2 -2
- tokenizer.json +0 -0
- tokenizer_config.json +97 -25
- vocab.json +0 -0
README.md
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# Turkish Sentiment Analysis Model
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This model is a fine-tuned version of [
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## Model description
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The model is based on BERT and fine-tuned on a Turkish sentiment analysis dataset. It classifies text into three sentiment categories.
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## Intended uses & limitations
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## Training procedure
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The model was fine-tuned using the following hyperparameters:
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- learning rate:
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- batch size:
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- epochs:
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- optimizer: Adam (beta1=0.9, beta2=0.999, epsilon=1e-8)
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## Evaluation results
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Test Accuracy: 0.
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# Turkish Sentiment Analysis Model
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This model is a fine-tuned version of [VRLLab/TurkishBERTweet](https://huggingface.co/VRLLab/TurkishBERTweet) for sentiment analysis in Turkish.
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## Model description
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The model is based on BERT and fine-tuned on a Turkish sentiment analysis dataset. It classifies text into three sentiment categories. Negative, Pozitive and Notr.
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## Intended uses & limitations
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## Training procedure
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The model was fine-tuned using the following hyperparameters:
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- learning rate: 1e-5
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- batch size: 8
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- epochs: 2 (with early stopping)
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- optimizer: Adam (beta1=0.9, beta2=0.999, epsilon=1e-8)
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## Evaluation results
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Test Accuracy: 0.9433
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config.json
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{
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"_name_or_path": "
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"_num_labels": 3,
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"architectures": [
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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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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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id":
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"padding": "max_length",
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.42.4",
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"vocab_size":
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{
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"_name_or_path": "VRLLab/TurkishBERTweet",
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"architectures": [
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"RobertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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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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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"transformers_version": "4.42.4",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 100000
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}
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merges.txt
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special_tokens_map.json
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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
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version https://git-lfs.github.com/spec/v1
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oid sha256:aa8ebff93bbb79388cda21d679f467214734cb5ad36023cf3c447f5b1125db2a
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size 651667264
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tokenizer.json
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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}
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vocab.json
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