This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.3 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.7686

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: 1e-05
train_batch_size: 4
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.3
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
2.6246	0.3656	100	2.3972
1.91	0.7313	200	1.7686

Framework versions

PEFT 0.11.2.dev0
Transformers 4.43.3
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

BattleTag/SoC-mistral-7b-instruct-v0.3-2408

SoC-mistral-7b-instruct-v0.3-2408

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

BattleTag/
SoC-mistral-7b-instruct-v0.3-2408