4e2c54f8-7607-497c-9029-0fd55daa3598

This model is a fine-tuned version of echarlaix/tiny-random-PhiForCausalLM on the None dataset. It achieves the following results on the evaluation set:

• Loss: 6.8322

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: 0.000202
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: constant
• lr_scheduler_warmup_steps: 50
• training_steps: 310

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0097	1	6.9341
6.9004	0.4843	50	6.8755
6.866	0.9685	100	6.8579
6.9608	1.4528	150	6.8503
6.8475	1.9370	200	6.8437
6.9513	2.4213	250	6.8380
6.8392	2.9056	300	6.8322

Framework versions

• PEFT 0.13.2
• Transformers 4.46.0
• Pytorch 2.5.0+cu124
• Datasets 3.0.1
• Tokenizers 0.20.1