results
This model is a fine-tuned version of facebook/mbart-large-50 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.6143
- eval_sacrebleu: 0.6840
- eval_bleu: 0.0068
- eval_rouge1: 0.0505
- eval_rouge2: 0.0185
- eval_rougeL: 0.0461
- eval_rougeLsum: 0.0454
- eval_meteor: 0.0400
- eval_ter: 101.0724
- eval_runtime: 105.8182
- eval_samples_per_second: 1.342
- eval_steps_per_second: 0.671
- epoch: 0.7148
- step: 480
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 700
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Base model
facebook/mbart-large-50