question-context-random-to10-p-all_q

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

• eval_loss: 0.0532
• eval_rouge1: 0.9979
• eval_rouge2: 0.0
• eval_rougeL: 0.9979
• eval_rougeLsum: 0.9979
• eval_gen_len: 2.0
• eval_runtime: 410.5021
• eval_samples_per_second: 9.135
• eval_steps_per_second: 9.135
• epoch: 1.0
• step: 11248

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: 2e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.1+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3