banglabert_finetuned

README.md

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+---
+library_name: transformers
+base_model: csebuetnlp/banglabert
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+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 an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7260
+- Accuracy: 0.7417
+- F1: 0.7267
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.9409        | 1.0   | 35   | 0.9145          | 0.6583   | 0.6004 |
+| 0.7658        | 2.0   | 70   | 0.7490          | 0.725    | 0.6680 |
+| 0.6112        | 3.0   | 105  | 0.6922          | 0.7333   | 0.6772 |
+| 0.4237        | 4.0   | 140  | 0.6434          | 0.7583   | 0.7283 |
+| 0.327         | 5.0   | 175  | 0.6385          | 0.7667   | 0.7513 |
+| 0.2258        | 6.0   | 210  | 0.6861          | 0.7333   | 0.7266 |
+| 0.1018        | 7.0   | 245  | 0.7522          | 0.7583   | 0.7327 |
+| 0.0794        | 8.0   | 280  | 0.8856          | 0.7667   | 0.7506 |
+| 0.0543        | 9.0   | 315  | 0.9427          | 0.7417   | 0.7368 |
+| 0.03          | 10.0  | 350  | 0.9346          | 0.75     | 0.7339 |
+| 0.0252        | 11.0  | 385  | 1.0011          | 0.7333   | 0.7274 |
+| 0.0324        | 12.0  | 420  | 1.0499          | 0.75     | 0.7366 |
+| 0.0139        | 13.0  | 455  | 1.0554          | 0.7333   | 0.7173 |
+| 0.014         | 14.0  | 490  | 1.0881          | 0.7583   | 0.7492 |
+| 0.0131        | 15.0  | 525  | 1.0949          | 0.7583   | 0.7492 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

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,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "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": "4.44.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 32000
+}

model.safetensors

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+size 442502748

training_args.bin

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