llama3_extended_darulm_20_05_24_part1-2_64000_bpe_full_lr1e4_bs256 – AI Model by RefalMachine | AlphaNeural AI

You can deploy this model and start earning money today!

RefalMachine/
llama3_extended_darulm_20_05_24_part1-2_64000_bpe_full_lr1e4_bs256

like

0

text-generation

generated_from_trainer

RefalMachine/llama3_extended_darulm_20_05_24_part1-2_64000_bpe_mean_init_03_07_24

autotrain_compatible

text-generation-inference

endpoints_compatible

Views

No views yet

llama3_extended_darulm_20_05_24_part1-2_64000_bpe_full_lr1e4_bs256

This model is a fine-tuned version of RefalMachine/llama3_extended_darulm_20_05_24_part1-2_64000_bpe_mean_init_03_07_24 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.1699
Accuracy: 0.5491

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: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 64
total_train_batch_size: 256
total_eval_batch_size: 256
optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.4463	0.05	2000	2.2873	0.5336
2.3954	0.09	4000	2.2430	0.5391
2.3427	0.14	6000	2.2232	0.5413
2.3684	0.18	8000	2.2102	0.5432
2.3547	0.23	10000	2.2010	0.5443
2.3426	0.27	12000	2.1945	0.5453
2.3394	0.32	14000	2.1887	0.5460
2.3314	0.37	16000	2.1853	0.5467
2.3243	0.41	18000	2.1811	0.5473
2.3101	0.46	20000	2.1780	0.5479
2.3526	0.5	22000	2.1759	0.5482
2.3172	0.55	24000	2.1738	0.5485
2.3196	0.59	26000	2.1726	0.5487
2.3158	0.64	28000	2.1714	0.5488
2.2964	0.68	30000	2.1709	0.5491
2.3041	0.73	32000	2.1703	0.5491
2.3148	0.78	34000	2.1701	0.5491
2.2964	0.82	36000	2.1700	0.5492
2.32	0.87	38000	2.1699	0.5492
2.3088	0.91	40000	2.1699	0.5492
2.316	0.96	42000	2.1699	0.5492

Framework versions

Transformers 4.37.2
Pytorch 2.3.0a0+6ddf5cf85e.nv24.04
Datasets 2.18.0
Tokenizers 0.15.2