Training complete

README.md

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+---
+license: mit
+base_model: facebook/bart-large-mnli
+tags:
+- text2text-generation
+- generated_from_trainer
+metrics:
+- sacrebleu
+model-index:
+- name: model
+ 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. -->
+
+# model
+
+This model is a fine-tuned version of [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2636
+- Sacrebleu: 15.0709
+
+## 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: 1e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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+ "decoder_start_token_id": 2,
+ "eos_token_id": 2,
+ "forced_eos_token_id": 2,
+ "pad_token_id": 1,
+ "transformers_version": "4.39.3"
+}

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