outputs – AI Model by SergeySavinov | AlphaNeural AI

You can deploy this model and start earning money today!

SergeySavinov/
outputs

like

0

generated_from_trainer

samedad/mem-and-russian-jokes-dataset

yandex/YandexGPT-5-Lite-8B-instruct

Views

No views yet

outputs

This model is a fine-tuned version of yandex/YandexGPT-5-Lite-8B-instruct on an samedad/mem-and-russian-jokes-dataset. It achieves the following results on the evaluation set:

Loss: 2.4964

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

The following bitsandbytes quantization config was used during training:

quant_method: QuantizationMethod.BITS_AND_BYTES
_load_in_8bit: False
_load_in_4bit: True
llm_int8_threshold: 6.0
llm_int8_skip_modules: None
llm_int8_enable_fp32_cpu_offload: False
llm_int8_has_fp16_weight: False
bnb_4bit_quant_type: nf4
bnb_4bit_use_double_quant: True
bnb_4bit_compute_dtype: bfloat16
load_in_4bit: True
load_in_8bit: False

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0001
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 250
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
6.3533	0.04	100	4.2878
3.3336	0.08	200	2.8855
2.8695	0.12	300	2.8085
2.7996	0.16	400	2.7477
2.7557	0.2	500	2.6723
2.6529	0.24	600	2.5928
2.6168	0.29	700	2.5523
2.585	0.33	800	2.5235
2.5576	0.37	900	2.5039
2.5305	0.41	1000	2.4964

Framework versions

PEFT 0.5.0
Transformers 4.38.2
Pytorch 2.6.0+cu124
Datasets 4.1.1
Tokenizers 0.15.2