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

Loss: 0.3803
Accuracy: 0.8363

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: 8
eval_batch_size: 16
seed: 0
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 2
total_train_batch_size: 32
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4253	0.22	50	0.4968	0.7553
0.5036	0.44	100	0.4704	0.7779
0.4974	0.66	150	0.4562	0.7825
0.4649	0.88	200	0.4299	0.7880
0.3356	1.1	250	0.4155	0.8051
0.4005	1.32	300	0.4026	0.8184
0.328	1.54	350	0.4052	0.8145
0.3632	1.76	400	0.3889	0.8270
0.3334	1.98	450	0.4176	0.8036
0.3166	2.2	500	0.4195	0.8324
0.2649	2.42	550	0.3929	0.8254
0.2805	2.64	600	0.3877	0.8363
0.3357	2.86	650	0.3734	0.8457
0.2476	3.08	700	0.3930	0.8418
0.2361	3.3	750	0.3893	0.8566
0.2375	3.52	800	0.3769	0.8519
0.18	3.74	850	0.3757	0.8519
0.2305	3.96	900	0.3783	0.8465
0.1432	4.18	950	0.4876	0.8402

Framework versions

Transformers 4.35.2
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.15.0

thrunlab/original_glue_cola

original_glue_cola

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

thrunlab/
original_glue_cola