End of training

README.md

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+---
+library_name: transformers
+base_model: csebuetnlp/banglabert
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: bdbert
+  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. -->
+
+# bdbert
+
+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: 0.3231
+- Accuracy: 0.9549
+- F1: 0.9528
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 1.0   | 51   | 1.5852          | 0.6823   | 0.6170 |
+| No log        | 2.0   | 102  | 0.9237          | 0.8559   | 0.8517 |
+| No log        | 3.0   | 153  | 0.6013          | 0.9115   | 0.9061 |
+| No log        | 4.0   | 204  | 0.4866          | 0.9184   | 0.9146 |
+| No log        | 5.0   | 255  | 0.4016          | 0.9427   | 0.9405 |
+| No log        | 6.0   | 306  | 0.3525          | 0.9462   | 0.9441 |
+| No log        | 7.0   | 357  | 0.3383          | 0.9514   | 0.9493 |
+| No log        | 8.0   | 408  | 0.3370          | 0.9479   | 0.9458 |
+| No log        | 9.0   | 459  | 0.3464          | 0.9531   | 0.9509 |
+| 0.6486        | 10.0  | 510  | 0.3231          | 0.9549   | 0.9528 |
+
+
+### Framework versions
+
+- Transformers 5.0.0
+- Pytorch 2.10.0+cu128
+- Datasets 5.0.0
+- Tokenizers 0.22.2

config.json

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+{
+  "add_cross_attention": false,
+  "architectures": [
+    "ElectraForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": null,
+  "classifier_dropout": null,
+  "dtype": "float32",
+  "embedding_size": 768,
+  "eos_token_id": null,
+  "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,
+  "is_decoder": false,
+  "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,
+  "problem_type": "single_label_classification",
+  "summary_activation": "gelu",
+  "summary_last_dropout": 0.1,
+  "summary_type": "first",
+  "summary_use_proj": true,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.0.0",
+  "type_vocab_size": 2,
+  "use_cache": false,
+  "vocab_size": 32000
+}

model.safetensors

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+oid sha256:78cea307b6fe8224d7e4116d12c51a0f584fda871af48ff06f28a8e9231527e8
+size 442502724

training_args.bin

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