Mistral-7B-v0_1_cola_sp0_ar0 – AI Model by thrunlab | AlphaNeural AI

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thrunlab/
Mistral-7B-v0_1_cola_sp0_ar0

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text-classification

generated_from_trainer

mistralai/Mistral-7B-v0.1

autotrain_compatible

text-generation-inference

endpoints_compatible

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Mistral-7B-v0_1_cola_sp0_ar0

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

Loss: 0.3526
Accuracy: 0.8773

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: 48
eval_batch_size: 80
seed: 1
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 2
total_train_batch_size: 192
total_eval_batch_size: 160
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 750

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.8621	1.23	50	0.8680	0.6261
0.6235	2.47	100	0.5236	0.7651
0.2987	3.7	150	0.4271	0.8121
0.3941	4.94	200	0.3921	0.8265
0.3579	6.17	250	0.3769	0.8293
0.2617	7.41	300	0.3744	0.8360
0.3043	8.64	350	0.3863	0.8360
0.2354	9.88	400	0.3478	0.8581
0.1854	11.11	450	0.3686	0.8437
0.1896	12.35	500	0.3892	0.8543
0.1561	13.58	550	0.4256	0.8504
0.1448	14.81	600	0.4322	0.8437
0.0355	16.05	650	0.5269	0.8351
0.0256	17.28	700	0.5536	0.8476
0.0549	18.52	750	0.6612	0.8485

Framework versions

Transformers 4.35.2
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.15.0