15120ba8-9b5a-4a43-9fe7-ba72b0fd6208

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: 6.6459

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: 0.000218
• train_batch_size: 4
• eval_batch_size: 4
• seed: 180
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• 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: cosine
• lr_scheduler_warmup_steps: 50
• training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0000	1	6.9218
6.6332	0.0011	50	6.7246
6.5951	0.0023	100	6.6920
6.521	0.0034	150	6.6846
6.5404	0.0045	200	6.6791
6.4892	0.0057	250	6.6736
6.5135	0.0068	300	6.6654
6.5308	0.0079	350	6.6580
6.4446	0.0091	400	6.6499
6.4453	0.0102	450	6.6464
6.4791	0.0113	500	6.6459

Framework versions

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