starcoderbase1b-personal-copilot-A100-40GB-colab – AI Model by smangrul | AlphaNeural AI

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smangrul/
starcoderbase1b-personal-copilot-A100-40GB-colab

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text-generation

generated_from_trainer

bigcode/starcoderbase-1b

bigcode-openrail-m

autotrain_compatible

text-generation-inference

endpoints_compatible

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starcoderbase1b-personal-copilot-A100-40GB-colab

This model is a fine-tuned version of bigcode/starcoderbase-1b on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3625

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 30
training_steps: 2000

Training results

Training Loss	Epoch	Step	Validation Loss
0.8203	0.05	100	0.8005
0.762	0.1	200	0.6704
0.7456	0.15	300	0.5798
0.6643	0.2	400	0.5415
0.6	0.25	500	0.5266
0.5847	0.3	600	0.4981
0.5323	0.35	700	0.4616
0.608	0.4	800	0.4527
0.4632	0.45	900	0.4480
0.5385	0.5	1000	0.4285
0.4835	0.55	1100	0.4098
0.5149	0.6	1200	0.3829
0.4233	0.65	1300	0.3768
0.5448	0.7	1400	0.3696
0.3498	0.75	1500	0.3663
0.7823	0.8	1600	0.3637
0.3285	0.85	1700	0.3618
0.3635	0.9	1800	0.3636
0.3066	0.95	1900	0.3630
0.4495	1.0	2000	0.3625

Framework versions

Transformers 4.32.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3