neft-exp2 – AI Model by openaccess-ai-collective | AlphaNeural AI

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openaccess-ai-collective/
neft-exp2

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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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This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.3578

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: 6e-06
train_batch_size: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 8
total_train_batch_size: 16
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
1.0098	0.02	1	1.1120
1.0619	0.2	13	1.0209
0.9973	0.41	26	1.0142
0.9229	0.61	39	1.0068
0.9302	0.81	52	1.0037
0.6189	1.02	65	1.0103
0.5912	1.22	78	1.0485
0.5477	1.42	91	1.0665
0.6536	1.62	104	1.0594
0.5538	1.83	117	1.0684
0.3619	2.03	130	1.1095
0.3412	2.23	143	1.1854
0.2986	2.44	156	1.1898
0.3164	2.64	169	1.1895
0.326	2.84	182	1.1849
0.1795	3.05	195	1.2659
0.1595	3.25	208	1.3222
0.1765	3.45	221	1.3298
0.1417	3.66	234	1.3659
0.1282	3.86	247	1.3578

Framework versions

Transformers 4.34.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.14.0