Archive verified checkpoint FiveC/BartBanaFinal-InsertOriginal

checkpoints/BartBanaFinal-InsertOriginal/.gitattributes

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checkpoints/BartBanaFinal-InsertOriginal/README.md

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+---
+library_name: transformers
+license: mit
+base_model: IAmSkyDra/BARTBana_v5
+tags:
+- generated_from_trainer
+metrics:
+- sacrebleu
+model-index:
+- name: BartBanaFinal-InsertOriginal
+  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. -->
+
+# BartBanaFinal-InsertOriginal
+
+This model is a fine-tuned version of [IAmSkyDra/BARTBana_v5](https://huggingface.co/IAmSkyDra/BARTBana_v5) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.3171
+- Sacrebleu: 4.0488
+
+## 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: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|
+| 2.4510        | 1.0   | 1299 | 2.4557          | 3.1376    |
+| 2.1479        | 2.0   | 2598 | 2.3370          | 3.9073    |
+| 2.0274        | 3.0   | 3897 | 2.3171          | 4.0488    |
+
+
+### Framework versions
+
+- Transformers 5.0.0
+- Pytorch 2.9.0+cu128
+- Datasets 4.0.0
+- Tokenizers 0.22.2

checkpoints/BartBanaFinal-InsertOriginal/config.json

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+{
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "architectures": [
+    "MBartForConditionalGeneration"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "classifier_dropout": 0.0,
+  "d_model": 1024,
+  "decoder_attention_heads": 16,
+  "decoder_ffn_dim": 4096,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 12,
+  "decoder_start_token_id": 2,
+  "dropout": 0.1,
+  "dtype": "float32",
+  "encoder_attention_heads": 16,
+  "encoder_ffn_dim": 4096,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 12,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "init_std": 0.02,
+  "is_decoder": false,
+  "is_encoder_decoder": true,
+  "max_position_embeddings": 1024,
+  "model_type": "mbart",
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "scale_embedding": false,
+  "tie_word_embeddings": true,
+  "tokenizer_class": "BartphoTokenizer",
+  "transformers_version": "5.0.0",
+  "use_cache": false,
+  "vocab_size": 40030
+}

checkpoints/BartBanaFinal-InsertOriginal/generation_config.json

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+{
+  "_from_model_config": false,
+  "assistant_confidence_threshold": 0.4,
+  "assistant_lookbehind": 10,
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "diversity_penalty": 0.0,
+  "do_sample": false,
+  "early_stopping": false,
+  "encoder_no_repeat_ngram_size": 0,
+  "encoder_repetition_penalty": 1.0,
+  "eos_token_id": 2,
+  "epsilon_cutoff": 0.0,
+  "eta_cutoff": 0.0,
+  "forced_eos_token_id": 2,
+  "length_penalty": 1.0,
+  "max_length": 20,
+  "min_length": 0,
+  "no_repeat_ngram_size": 0,
+  "num_assistant_tokens": 20,
+  "num_assistant_tokens_schedule": "constant",
+  "num_beam_groups": 1,
+  "num_beams": 1,
+  "num_return_sequences": 1,
+  "output_scores": false,
+  "pad_token_id": 1,
+  "remove_invalid_values": false,
+  "repetition_penalty": 1.0,
+  "return_dict_in_generate": false,
+  "target_lookbehind": 10,
+  "temperature": 1.0,
+  "top_k": 50,
+  "top_p": 1.0,
+  "transformers_version": "5.0.0",
+  "typical_p": 1.0,
+  "use_cache": true
+}

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checkpoints/BartBanaFinal-InsertOriginal/tokenizer_config.json

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