filtered_annotated100k_mt5

This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.2640
• eval_Val Accuracy: 0.8325
• eval_gen_len: 4.0762
• eval_runtime: 62.2314
• eval_samples_per_second: 154.327
• eval_steps_per_second: 4.837
• epoch: 3.0
• step: 2307

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: 100
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 200

Framework versions

• Transformers 4.37.2
• Pytorch 1.13.1+cu117
• Datasets 2.17.1
• Tokenizers 0.15.2