dolphin-2.6-mistral-7b-dpo-laser-function-calling-lora – AI Model by Yhyu13 | AlphaNeural AI

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dolphin-2.6-mistral-7b-dpo-laser-function-calling-lora

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dphn/dolphin-2.6-mistral-7b-dpo-laser

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dolphin-2.6-mistral-7b-dpo-laser-sft-glaive-function-calling-v2-ep1-lora

This model is a fine-tuned version of cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser on the https://huggingface.co/datasets/Yhyu13/glaive-function-calling-v2-llama-factory-convert/blob/main/simple-function-calling-v2_converted_5000_with_function_call_only.json dataset. It achieves the following results on the evaluation set:

Loss: 0.0605

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: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 4
total_train_batch_size: 8
total_eval_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.2548	0.09	100	0.1148
0.1149	0.18	200	0.0914
0.0871	0.27	300	0.0831
0.0865	0.35	400	0.0760
0.0802	0.44	500	0.0718
0.0689	0.53	600	0.0702
0.0649	0.62	700	0.0649
0.0637	0.71	800	0.0632
0.0698	0.8	900	0.0619
0.0648	0.88	1000	0.0608
0.0654	0.97	1100	0.0605

Framework versions

PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.0