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POLYQ/
mixtral-nek-finetune_0.3_all_data_4_lines

Name: mixtral-nek-finetune_0.3_all_data_4_lines
Rating: 2.5 (6 reviews)

peft

safetensors

generated_from_trainer

mistralai/Mixtral-8x7B-Instruct-v0.1

adapter

apache-2.0

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mixtral-nek-finetune_0.3_all_data_4_lines

This model is a fine-tuned version of mistralai/Mixtral-8x7B-Instruct-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.8051

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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
num_epochs: 1.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.8456	0.09	1000	0.8573
0.838	0.18	2000	0.8426
0.8373	0.27	3000	0.8341
0.8168	0.36	4000	0.8274
0.8163	0.44	5000	0.8222
0.8079	0.53	6000	0.8181
0.8089	0.62	7000	0.8140
0.8119	0.71	8000	0.8108
0.8007	0.8	9000	0.8082
0.809	0.89	10000	0.8062
0.8084	0.98	11000	0.8051

Framework versions

PEFT 0.8.2.dev0
Transformers 4.38.0.dev0
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.1

POLYQ/mixtral-nek-finetune_0.3_all_data_4_lines

mixtral-nek-finetune_0.3_all_data_4_lines

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

POLYQ/
mixtral-nek-finetune_0.3_all_data_4_lines