tsavage68_-_mpt_600_STEPS_1e7_SFT_SFT-4bits – AI Model by RichardErkhov | AlphaNeural AI

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tsavage68_-_mpt_600_STEPS_1e7_SFT_SFT-4bits

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mpt_600_STEPS_1e7_SFT_SFT - bnb 4bits

Model creator: https://huggingface.co/tsavage68/
Original model: https://huggingface.co/tsavage68/mpt_600_STEPS_1e7_SFT_SFT/

Original model description:

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

trl
sft
generated_from_trainer model-index:
name: v1_600_STEPS_1e7_SFT_SFT results: []

v1_600_STEPS_1e7_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: 1.6305

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-07
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: 600

Training results

Training Loss	Epoch	Step	Validation Loss
1.8395	0.05	50	1.8528
1.8225	0.1	100	1.8184
1.7699	0.15	150	1.7650
1.7281	0.2	200	1.7192
1.6882	0.24	250	1.6831
1.6643	0.29	300	1.6589
1.641	0.34	350	1.6433
1.6306	0.39	400	1.6349
1.6145	0.44	450	1.6309
1.6315	0.49	500	1.6304
1.6192	0.54	550	1.6305
1.6226	0.59	600	1.6305

Framework versions

Transformers 4.39.3
Pytorch 2.0.0+cu117
Datasets 2.18.0
Tokenizers 0.15.2