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baltop/
zwave-dbgatekeeper-v0.3

Name: zwave-dbgatekeeper-v0.3
Availability: InStock

peft

safetensors

generated_from_trainer

mistralai/Mistral-7B-Instruct-v0.2

adapter

apache-2.0

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mistral-sql-finetune

This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0305

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: 2.5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
training_steps: 300

Training results

Training Loss	Epoch	Step	Validation Loss
1.1899	0.17	25	0.3116
0.1795	0.33	50	0.1088
0.0819	0.5	75	0.0425
0.0453	0.67	100	0.0419
0.0534	0.83	125	0.0382
0.0338	1.0	150	0.0315
0.0358	1.17	175	0.0345
0.0336	1.33	200	0.0334
0.0401	1.5	225	0.0322
0.0326	1.67	250	0.0308
0.0396	1.83	275	0.0309
0.0307	2.0	300	0.0305

Framework versions

PEFT 0.7.2.dev0
Transformers 4.37.0.dev0
Pytorch 2.1.2
Datasets 2.15.0
Tokenizers 0.15.0

baltop/zwave-dbgatekeeper-v0.3

mistral-sql-finetune

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

baltop/
zwave-dbgatekeeper-v0.3