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: 0.0661

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: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 3
total_train_batch_size: 24
total_eval_batch_size: 24
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss
0.0491	1.0	159	0.0503
0.0407	2.0	318	0.0413
0.0307	3.0	477	0.0424
0.0226	4.0	636	0.0476
0.0115	5.0	795	0.0572
0.0052	6.0	954	0.0661

Framework versions

Transformers 4.36.0
Pytorch 2.0.1+cu118
Datasets 2.18.0
Tokenizers 0.15.2

hiiamsid/mistral_channel_targeter_epoch_6

mistral_channel_targeter_epoch_6

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

hiiamsid/
mistral_channel_targeter_epoch_6