mt5-mongolian-poem-phase2

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mt5-mongolian-poem-phase2

This model is a fine-tuned version of google/mt5-large on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 2.7409
• eval_bleu: 0.0120
• eval_rougeL: 0.0
• eval_runtime: 307.312
• eval_samples_per_second: 5.255
• eval_steps_per_second: 1.315
• epoch: 1.0
• step: 959

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: 3e-05
• train_batch_size: 8
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• 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: 4

Framework versions

• Transformers 4.47.0.dev0
• Pytorch 2.5.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3