pythia-31m-KI_v1-2048-scratch – AI Model by pszemraj | AlphaNeural AI

You can deploy this model and start earning money today!

pszemraj/
pythia-31m-KI_v1-2048-scratch

like

0

text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

Views

No views yet

pythia-31m-KI_v1-2048-scratch

Initialized from random weights based on config of EleutherAI/pythia-31m, 3 epochs bf16 It achieves the following results on the evaluation set:

Loss: 4.6160
Accuracy: 0.2448

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: 0.0005
train_batch_size: 2
eval_batch_size: 2
seed: 80085
gradient_accumulation_steps: 64
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-07
lr_scheduler_type: inverse_sqrt
lr_scheduler_warmup_ratio: 0.05
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
6.3874	0.16	100	6.4212	0.1487
5.7088	0.32	200	5.7926	0.1725
5.4575	0.48	300	5.5160	0.1903
5.2451	0.64	400	5.3429	0.1995
5.0954	0.8	500	5.2109	0.2059
5.0358	0.96	600	5.1068	0.2123
4.94	1.12	700	5.0321	0.2157
4.8532	1.28	800	4.9605	0.2202
4.7602	1.44	900	4.9047	0.224
4.6965	1.6	1000	4.8526	0.2276
4.6855	1.76	1100	4.8139	0.2300
4.6573	1.91	1200	4.7739	0.2327
4.5968	2.07	1300	4.7451	0.2346
4.5688	2.23	1400	4.7152	0.2370
4.5205	2.39	1500	4.6842	0.2396
4.5369	2.55	1600	4.6598	0.2410
4.5106	2.71	1700	4.6352	0.2433
4.4375	2.87	1800	4.6160	0.2448

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	25.21
ARC (25-shot)	23.12
HellaSwag (10-shot)	25.23
MMLU (5-shot)	23.12
TruthfulQA (0-shot)	51.67
Winogrande (5-shot)	51.78
GSM8K (5-shot)	0.0
DROP (3-shot)	1.52