bitllama-goodwiki – AI Model by amazingvince | AlphaNeural AI

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amazingvince/
bitllama-goodwiki

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text-generation

generated_from_trainer

BEE-spoke-data/goodwiki-deduped-split

autotrain_compatible

text-generation-inference

endpoints_compatible

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bitllama-goodwiki

This model was trained from scratch on the BEE-spoke-data/goodwiki-deduped-split dataset. It achieves the following results on the evaluation set:

Loss: 3.0525
Accuracy: 0.4285

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: 0.0008
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
6.1199	0.04	100	6.0749	0.1542
5.3869	0.07	200	5.3267	0.2032
4.9187	0.11	300	4.8566	0.2386
4.6185	0.14	400	4.5535	0.2624
4.3509	0.18	500	4.3388	0.2801
4.1666	0.21	600	4.1692	0.2956
4.0456	0.25	700	4.0399	0.3089
3.9273	0.28	800	3.9318	0.3193
3.8447	0.32	900	3.8173	0.3327
3.7143	0.35	1000	3.7108	0.3461
3.6485	0.39	1100	3.6116	0.3590
3.5171	0.42	1200	3.5303	0.3693
3.4464	0.46	1300	3.4554	0.3780
3.3955	0.49	1400	3.3999	0.3851
3.3551	0.53	1500	3.3432	0.3919
3.2787	0.56	1600	3.2981	0.3974
3.2705	0.6	1700	3.2566	0.4023
3.2281	0.64	1800	3.2172	0.4075
3.1759	0.67	1900	3.1826	0.4118
3.1603	0.71	2000	3.1547	0.4152
3.1328	0.74	2100	3.1283	0.4186
3.0916	0.78	2200	3.1055	0.4215
3.0939	0.81	2300	3.0875	0.4238
3.0584	0.85	2400	3.0732	0.4257
3.0711	0.88	2500	3.0631	0.4271
3.0612	0.92	2600	3.0565	0.4280
3.081	0.95	2700	3.0534	0.4284
3.0378	0.99	2800	3.0525	0.4285

Framework versions

Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0