This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the samantha-data dataset. It achieves the following results on the evaluation set:

Loss: 1.2177

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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_steps: 0.03
training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss
1.8256	0.01	10	1.6091
1.1803	0.02	20	1.3865
1.0851	0.02	30	1.3218
1.061	0.03	40	1.2639
0.9776	0.04	50	1.2600
1.0178	0.05	60	1.2484
0.9253	0.05	70	1.2435
1.0814	0.06	80	1.2363
0.9787	0.07	90	1.2307
1.0406	0.08	100	1.2177

Framework versions

PEFT 0.8.2
Transformers 4.38.1
Pytorch 2.2.1+cu121
Datasets 2.17.1
Tokenizers 0.15.2

adarsh12x/mistral_7b_samantha_

mistral_7b_samantha_

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

adarsh12x/
mistral_7b_samantha_