wiki_lora_hoa1b4_9_epoch – AI Model by Luongdzung | AlphaNeural AI

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Luongdzung/
wiki_lora_hoa1b4_9_epoch

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vlsp-2023-vllm/hoa-1b4

bigscience-bloom-rail-1.0

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wiki_lora_hoa1b4_9_epoch

This model is a fine-tuned version of vlsp-2023-vllm/hoa-1b4 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.2950

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 9

Training results

Training Loss	Epoch	Step	Validation Loss
19.8534	1.0	50	19.1101
6.1343	2.0	100	3.7264
2.6442	3.0	150	2.1457
2.5735	4.0	200	1.8858
2.3726	5.0	250	1.6905
2.1321	6.0	300	1.5279
2.0719	7.0	350	1.4009
1.7432	8.0	400	1.3213
1.7092	9.0	450	1.2950

Framework versions

PEFT 0.12.0
Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1