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: 0.0457

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-07
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 3
gradient_accumulation_steps: 2
total_train_batch_size: 24
total_eval_batch_size: 12
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
0.0536	1.0	157	0.0567
0.044	2.0	315	0.0457
0.0433	3.0	472	0.0434
0.0346	3.99	628	0.0457

Framework versions

Transformers 4.36.0
Pytorch 2.0.1+cu118
Datasets 2.18.0
Tokenizers 0.15.2

hiiamsid/mistral_channel_targeter_0_1

mistral_channel_targeter_0_1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

hiiamsid/
mistral_channel_targeter_0_1