phi3mini_4k_i_RE_QA_alpha8_r_8 – AI Model by cmill32405 | AlphaNeural AI

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phi3mini_4k_i_RE_QA_alpha8_r_8

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microsoft/Phi-3-mini-4k-instruct

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phi3mini_4k_i_RE_QA_alpha8_r_8

This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4399

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.7043	0.1187	100	0.5258
0.5348	0.2374	200	0.4702
0.5086	0.3561	300	0.4555
0.4973	0.4748	400	0.4484
0.4909	0.5935	500	0.4446
0.4842	0.7122	600	0.4419
0.4802	0.8309	700	0.4406
0.4797	0.9496	800	0.4399

Framework versions

PEFT 0.11.1
Transformers 4.41.2
Pytorch 2.2.1
Datasets 2.19.2
Tokenizers 0.19.1