ft-t5-small-nl-2-fol-v1.1

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ft-t5-small-nl-2-fol-v1.1

This model is a fine-tuned version of t5-small on the yuan-yang/MALLS-v0, alevkov95/text2log dataset. It achieves the following results on the evaluation set:

• eval_loss: 2.0546
• eval_model_preparation_time: 0.003
• eval_top-1 accuracy: 0.0
• eval_bleu_score: 0.1528
• eval_rouge1: 0.3617
• eval_rouge2: 0.1092
• eval_rougeL: 0.3431
• eval_rougeLsum: 0.3431
• eval_exact_match: 0.0
• eval_well_formedness: 0.3742
• eval_runtime: 33.4569
• eval_samples_per_second: 169.083
• eval_steps_per_second: 5.29
• step: 0

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 32
• seed: 42
• 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
• num_epochs: 3.0

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0