1f807782-9d29-4230-bdde-4ff9159004cb

This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0070

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: 0.000207
• 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	0.0000	1	1.6963
0.0085	0.0015	50	0.0687
0.0235	0.0030	100	0.0201
0.0175	0.0045	150	0.0134
0.0369	0.0060	200	0.0098
0.0104	0.0075	250	0.0088
0.0009	0.0090	300	0.0139
0.0218	0.0105	350	0.0078
0.0057	0.0120	400	0.0069
0.0084	0.0135	450	0.0070
0.0024	0.0150	500	0.0070

Framework versions

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