model
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 2.9456
- eval_bleu: 28.0754
- eval_gen_len: 56.0386
- eval_runtime: 36.2553
- eval_samples_per_second: 55.082
- eval_steps_per_second: 0.883
- epoch: 6.6181
- step: 113063
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: 0.0005
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: inverse_sqrt
- lr_scheduler_warmup_steps: 8000
- num_epochs: 10
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1
Framework versions
- Transformers 5.6.2
- Pytorch 2.5.1+cu121
- Datasets 4.8.5
- Tokenizers 0.22.2
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