tsavage68_-_mpt_1000_STEPS_1e5_SFT_SFT-8bits – AI Model by RichardErkhov | AlphaNeural AI

You can deploy this model and start earning money today!

RichardErkhov/
tsavage68_-_mpt_1000_STEPS_1e5_SFT_SFT-8bits

like

0

Views

No views yet

Quantization made by Richard Erkhov.

Request more models

mpt_1000_STEPS_1e5_SFT_SFT - bnb 8bits

Model creator: https://huggingface.co/tsavage68/
Original model: https://huggingface.co/tsavage68/mpt_1000_STEPS_1e5_SFT_SFT/

Original model description:

license: apache-2.0 base_model: mosaicml/mpt-7b-instruct tags:

trl
sft
generated_from_trainer model-index:
name: mpt_1000_STEPS_1e5_SFT_SFT results: []

mpt_1000_STEPS_1e5_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: 0.3857

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: 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
0.5003	0.05	50	0.4827
0.4582	0.1	100	0.5370
0.485	0.15	150	0.4682
0.5202	0.2	200	0.4486
0.4687	0.24	250	0.4494
0.469	0.29	300	0.4485
0.4331	0.34	350	0.4359
0.4189	0.39	400	0.4268
0.4444	0.44	450	0.4190
0.4187	0.49	500	0.4140
0.4045	0.54	550	0.4090
0.4159	0.59	600	0.4021
0.3862	0.64	650	0.3973
0.3773	0.68	700	0.3930
0.382	0.73	750	0.3893
0.3892	0.78	800	0.3873
0.4079	0.83	850	0.3862
0.3667	0.88	900	0.3857
0.3724	0.93	950	0.3857
0.3908	0.98	1000	0.3857

Framework versions

Transformers 4.39.3
Pytorch 2.0.0+cu117
Datasets 2.18.0
Tokenizers 0.15.2