e6d36ddb-3f9f-40b8-8b3b-0573ff1f4733

This model is a fine-tuned version of Xenova/tiny-random-Phi3ForCausalLM on the None dataset. It achieves the following results on the evaluation set:

• Loss: 10.2934

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: 0.000214
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• 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	0.0004	1	10.3815
10.305	0.0186	50	10.3118
10.2855	0.0372	100	10.3043
10.2703	0.0558	150	10.2991
10.2745	0.0744	200	10.2969
10.2673	0.0930	250	10.2949
10.2685	0.1116	300	10.2937
10.2669	0.1302	350	10.2936
10.281	0.1488	400	10.2931
10.2758	0.1674	450	10.2933
10.2771	0.1860	500	10.2934

Framework versions

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