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sreejith8100/muril-sentiment-_30k_3epoch

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: google/muril-base-cased
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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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+ model-index:
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+ - name: muril-sentiment
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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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+ # muril-sentiment
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+
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+ This model is a fine-tuned version of [google/muril-base-cased](https://huggingface.co/google/muril-base-cased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2264
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+ - Accuracy: 0.9455
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+ - F1 Macro: 0.9417
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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: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 3
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+ - mixed_precision_training: Native AMP
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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 Macro |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
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+ | 0.2783 | 1.0 | 1875 | 0.2202 | 0.934 | 0.9304 |
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+ | 0.1362 | 2.0 | 3750 | 0.2105 | 0.9435 | 0.9404 |
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+ | 0.095 | 3.0 | 5625 | 0.2047 | 0.9493 | 0.9464 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.56.0
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+ - Pytorch 2.8.0+cu126
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+ - Datasets 4.0.0
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+ - Tokenizers 0.22.0
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+ "BertForSequenceClassification"
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+ "hidden_act": "gelu",
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+ "id2label": {
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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": "bert",
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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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+ "position_embedding_type": "absolute",
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+ "problem_type": "single_label_classification",
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+ "transformers_version": "4.56.0",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 197285
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+ }
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