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ishands/translit-1

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: facebook/bart-base
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: transliteration-model
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+ results: []
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+ ---
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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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+
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+ # transliteration-model
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+
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+ This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0712
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+ - Cer: 0.6750
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-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: linear
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+ - num_epochs: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Cer |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.1389 | 1.0 | 1963 | 0.0998 | 0.6868 |
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+ | 0.1011 | 2.0 | 3926 | 0.0852 | 0.6692 |
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+ | 0.0762 | 3.0 | 5889 | 0.0777 | 0.6744 |
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+ | 0.0562 | 4.0 | 7852 | 0.0734 | 0.6749 |
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+ | 0.0518 | 5.0 | 9815 | 0.0712 | 0.6750 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.50.3
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 3.5.0
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+ - Tokenizers 0.21.1
config.json ADDED
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+ {
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+ "activation_dropout": 0.1,
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+ "activation_function": "gelu",
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+ "add_bias_logits": false,
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+ "add_final_layer_norm": false,
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+ "architectures": [
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+ "BartForConditionalGeneration"
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+ ],
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+ "attention_dropout": 0.1,
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+ "classif_dropout": 0.1,
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+ "classifier_dropout": 0.0,
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+ "encoder_layerdrop": 0.0,
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+ "encoder_layers": 6,
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+ "eos_token_id": 2,
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+ "forced_eos_token_id": 2,
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+ "gradient_checkpointing": false,
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+ "id2label": {
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+ "0": "LABEL_0",
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+ "1": "LABEL_1",
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+ },
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+ "no_repeat_ngram_size": null,
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+ }
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+ },
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.50.3",
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+ "use_cache": true,
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+ "vocab_size": 50265
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+ }
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tokenizer.json ADDED
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