bangla-sentiment-analysis

README.md

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+---
+library_name: transformers
+base_model: csebuetnlp/banglabert
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: results
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# results
+
+This model is a fine-tuned version of [csebuetnlp/banglabert](https://huggingface.co/csebuetnlp/banglabert) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6504
+- Accuracy: 0.8201
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.2063        | 0.2015 | 250  | 0.7486          | 0.7993   |
+| 0.4038        | 0.4029 | 500  | 0.3953          | 0.8140   |
+| 0.4264        | 0.6044 | 750  | 0.3772          | 0.8156   |
+| 0.3938        | 0.8058 | 1000 | 0.3900          | 0.8146   |
+| 0.393         | 1.0073 | 1250 | 0.4148          | 0.8172   |
+| 0.2627        | 1.2087 | 1500 | 0.4601          | 0.8247   |
+| 0.2864        | 1.4102 | 1750 | 0.4548          | 0.8185   |
+| 0.2559        | 1.6116 | 2000 | 0.4390          | 0.8138   |
+| 0.2607        | 1.8131 | 2250 | 0.4408          | 0.8215   |
+| 0.247         | 2.0145 | 2500 | 0.4906          | 0.8241   |
+| 0.1356        | 2.2160 | 2750 | 0.6311          | 0.8177   |
+| 0.1462        | 2.4174 | 3000 | 0.6750          | 0.8150   |
+| 0.1252        | 2.6189 | 3250 | 0.6950          | 0.8207   |
+| 0.1339        | 2.8203 | 3500 | 0.6504          | 0.8201   |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

config.json

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+{
+  "_name_or_path": "csebuetnlp/banglabert",
+  "architectures": [
+    "ElectraForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "embedding_size": 768,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "electra",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "summary_activation": "gelu",
+  "summary_last_dropout": 0.1,
+  "summary_type": "first",
+  "summary_use_proj": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.47.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 32000
+}

model.safetensors

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+size 442499672

training_args.bin

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+size 5240