Training Complete
Browse files- README.md +67 -0
- config.json +31 -0
- model.safetensors +3 -0
- training_args.bin +3 -0
README.md
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---
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library_name: transformers
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base_model: csebuetnlp/banglabert
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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: repo_name
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results: []
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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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# repo_name
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This model is a fine-tuned version of [csebuetnlp/banglabert](https://huggingface.co/csebuetnlp/banglabert) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4297
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- Accuracy: 0.8705
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 645
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 0.3313 | 0.4735 | 1000 | 0.3475 | 0.8446 |
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| 0.3384 | 0.9470 | 2000 | 0.3331 | 0.8630 |
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| 0.2469 | 1.4205 | 3000 | 0.3431 | 0.8615 |
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| 0.2392 | 1.8939 | 4000 | 0.3347 | 0.8705 |
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| 0.1737 | 2.3674 | 5000 | 0.4186 | 0.8659 |
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| 0.1481 | 2.8409 | 6000 | 0.4297 | 0.8705 |
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### Framework versions
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- Transformers 4.49.0
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- Pytorch 2.6.0+cu124
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- Datasets 3.4.1
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- Tokenizers 0.21.1
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config.json
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{
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"_name_or_path": "csebuetnlp/banglabert",
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"architectures": [
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"ElectraForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"embedding_size": 768,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "electra",
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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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"summary_activation": "gelu",
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"summary_last_dropout": 0.1,
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"summary_type": "first",
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"summary_use_proj": true,
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"torch_dtype": "float32",
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"transformers_version": "4.49.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 32000
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:874ef797b0efb37d0bd25c3c2dea25e7a0d673707387e617ea30a95921489974
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size 442499672
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:098ff8f8e214677316903f4737c34231e355199038d85c3a13ce93ab6e48cf50
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size 5240
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