mistral-json-finetune – AI Model by Sneka | AlphaNeural AI

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Sneka/
mistral-json-finetune

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text-generation

generated_from_trainer

mistralai/Mistral-7B-v0.1

autotrain_compatible

text-generation-inference

endpoints_compatible

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mistral-json-finetune

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: 0.3730

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: 2.5e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.2986	0.57	50	0.6897
0.4469	1.14	100	0.4239
0.2978	1.71	150	0.3497
0.2279	2.29	200	0.3126
0.1869	2.86	250	0.2858
0.137	3.43	300	0.2848
0.1221	4.0	350	0.2713
0.0918	4.57	400	0.2750
0.0832	5.14	450	0.2781
0.0681	5.71	500	0.2807
0.055	6.29	550	0.2902
0.0515	6.86	600	0.2746
0.0463	7.43	650	0.3078
0.0421	8.0	700	0.2971
0.0354	8.57	750	0.3196
0.0276	9.14	800	0.3490
0.0281	9.71	850	0.3411
0.026	10.29	900	0.3658
0.0241	10.86	950	0.3661
0.0209	11.43	1000	0.3730

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.15.0