mpt_1000_STEPS_1e6_SFT_SFT – AI Model by tsavage68 | AlphaNeural AI

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tsavage68/
mpt_1000_STEPS_1e6_SFT_SFT

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text-generation

generated_from_trainer

mosaicml/mpt-7b-instruct

autotrain_compatible

text-generation-inference

endpoints_compatible

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mpt_1000_STEPS_1e6_SFT_SFT

This model is a fine-tuned version of mosaicml/mpt-7b-instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4128

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-06
train_batch_size: 2
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss
1.568	0.05	50	1.4778
0.4601	0.1	100	0.4773
0.4655	0.15	150	0.4432
0.4866	0.2	200	0.4338
0.4309	0.24	250	0.4279
0.4481	0.29	300	0.4238
0.4239	0.34	350	0.4206
0.4025	0.39	400	0.4184
0.4377	0.44	450	0.4169
0.4192	0.49	500	0.4154
0.407	0.54	550	0.4145
0.4291	0.59	600	0.4136
0.4048	0.64	650	0.4133
0.397	0.68	700	0.4131
0.4016	0.73	750	0.4128
0.4108	0.78	800	0.4128
0.4427	0.83	850	0.4128
0.3882	0.88	900	0.4127
0.3929	0.93	950	0.4127
0.4125	0.98	1000	0.4128

Framework versions

Transformers 4.39.3
Pytorch 2.0.0+cu117
Datasets 2.18.0
Tokenizers 0.15.2