Training Complete

README.md

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+---
+library_name: transformers
+base_model: csebuetnlp/banglabert
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bangla-hatespeech-analysis
+  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. -->
+
+# bangla-hatespeech-analysis
+
+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: 0.4000
+- Accuracy: 0.8694
+
+## 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 |
+|:-------------:|:------:|:-----:|:---------------:|:--------:|
+| 0.3883        | 0.2700 | 1000  | 0.3539          | 0.8531   |
+| 0.3848        | 0.5400 | 2000  | 0.3685          | 0.8531   |
+| 0.3438        | 0.8099 | 3000  | 0.3294          | 0.8635   |
+| 0.2659        | 1.0799 | 4000  | 0.3643          | 0.8605   |
+| 0.2775        | 1.3499 | 5000  | 0.3422          | 0.8695   |
+| 0.2956        | 1.6199 | 6000  | 0.3923          | 0.8535   |
+| 0.2848        | 1.8898 | 7000  | 0.3431          | 0.8701   |
+| 0.2263        | 2.1598 | 8000  | 0.3707          | 0.8729   |
+| 0.1947        | 2.4298 | 9000  | 0.4239          | 0.8737   |
+| 0.2111        | 2.6998 | 10000 | 0.3852          | 0.8701   |
+| 0.1759        | 2.9698 | 11000 | 0.4000          | 0.8694   |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.3.2
+- 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": "4.48.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 32000
+}

model.safetensors

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+oid sha256:f8a998c2ad938408759b7769ef38541108c3929193e3198eb166c24dce9c64b3
+size 442499672

training_args.bin

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