distil-xlstm

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

• eval_loss: 1.7234
• eval_runtime: 2112.0089
• eval_samples_per_second: 4.735
• eval_steps_per_second: 1.184
• epoch: 0.064
• step: 400

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: 0.0001
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• num_epochs: 1
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.46.2
• Pytorch 2.5.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3