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FLANG-ELECTRA_Synonym-wordnet

Text Classification
Transformers
Safetensors
electra
Generated from Trainer
Inference Endpoints
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Acc0.9188514357053683, F10.9183760404581043 , Augmented with Synonym-wordnet.csv, finetuned on SALT-NLP/FLANG-ELECTRA

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  1. README.md +84 -0
  2. config.json +41 -0
  3. model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ base_model: SALT-NLP/FLANG-ELECTRA
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ - f1
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+ - precision
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+ - recall
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+ model-index:
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+ - name: FLANG-ELECTRA_Synonym-wordnet
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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 the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # FLANG-ELECTRA_Synonym-wordnet
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+
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+ This model is a fine-tuned version of [SALT-NLP/FLANG-ELECTRA](https://huggingface.co/SALT-NLP/FLANG-ELECTRA) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3701
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+ - Accuracy: 0.9376
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+ - F1: 0.9374
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+ - Precision: 0.9374
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+ - Recall: 0.9376
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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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+ - learning_rate: 0.0001
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 1000
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+ - num_epochs: 25
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.6271 | 1.0 | 181 | 0.4625 | 0.8409 | 0.8408 | 0.8424 | 0.8409 |
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+ | 0.3372 | 2.0 | 362 | 0.3312 | 0.8955 | 0.8959 | 0.8991 | 0.8955 |
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+ | 0.1762 | 3.0 | 543 | 0.3046 | 0.9048 | 0.9040 | 0.9050 | 0.9048 |
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+ | 0.313 | 4.0 | 724 | 0.3908 | 0.8986 | 0.8988 | 0.9018 | 0.8986 |
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+ | 0.2564 | 5.0 | 905 | 0.3268 | 0.9080 | 0.9073 | 0.9078 | 0.9080 |
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+ | 0.3189 | 6.0 | 1086 | 0.6418 | 0.7956 | 0.7933 | 0.8130 | 0.7956 |
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+ | 0.365 | 7.0 | 1267 | 0.7276 | 0.7894 | 0.7889 | 0.7890 | 0.7894 |
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+ | 0.1356 | 8.0 | 1448 | 0.6091 | 0.8814 | 0.8811 | 0.8816 | 0.8814 |
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+ | 0.1139 | 9.0 | 1629 | 0.4184 | 0.8924 | 0.8916 | 0.8948 | 0.8924 |
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+ | 0.1238 | 10.0 | 1810 | 0.3155 | 0.9220 | 0.9213 | 0.9231 | 0.9220 |
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+ | 0.077 | 11.0 | 1991 | 0.4511 | 0.9017 | 0.9025 | 0.9061 | 0.9017 |
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+ | 0.0613 | 12.0 | 2172 | 0.4132 | 0.9142 | 0.9141 | 0.9145 | 0.9142 |
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+ | 0.0514 | 13.0 | 2353 | 0.3735 | 0.9298 | 0.9296 | 0.9321 | 0.9298 |
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+ | 0.057 | 14.0 | 2534 | 0.3701 | 0.9376 | 0.9374 | 0.9374 | 0.9376 |
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+ | 0.0152 | 15.0 | 2715 | 0.3872 | 0.9360 | 0.9357 | 0.9384 | 0.9360 |
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+ | 0.0236 | 16.0 | 2896 | 0.4117 | 0.9314 | 0.9310 | 0.9320 | 0.9314 |
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+ | 0.0277 | 17.0 | 3077 | 0.5325 | 0.9204 | 0.9197 | 0.9208 | 0.9204 |
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+ | 0.0021 | 18.0 | 3258 | 0.4227 | 0.9236 | 0.9229 | 0.9236 | 0.9236 |
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+ | 0.0005 | 19.0 | 3439 | 0.5409 | 0.9314 | 0.9308 | 0.9334 | 0.9314 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.0
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+ - Pytorch 2.1.2
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+ - Datasets 2.1.0
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+ - Tokenizers 0.15.1
config.json ADDED
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+ {
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+ "_name_or_path": "SALT-NLP/FLANG-ELECTRA",
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+ "architectures": [
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+ "ElectraForSequenceClassification"
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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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+ "embedding_size": 1024,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 1024,
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+ "id2label": {
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+ "0": "LABEL_0",
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+ "initializer_range": 0.02,
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+ "intermediate_size": 4096,
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+ "label2id": {
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+ "LABEL_0": 0,
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+ "LABEL_1": 1,
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+ "LABEL_2": 2
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "electra",
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+ "num_attention_heads": 16,
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+ "num_hidden_layers": 24,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "single_label_classification",
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+ "summary_activation": "gelu",
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+ "summary_last_dropout": 0.1,
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+ "summary_type": "first",
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+ "summary_use_proj": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.37.0",
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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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+ }
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