ruadapt_solar_10.7_part2_v3_as2_rsg_lora

RefalMachine/ruadapt_solar_10.7_part2_v3_as2_rsg_lora

ruadapt_solar_10.7_part2_v3_as2_rsg_lora is a machine learning model from RefalMachine. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

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Public

Updated Mar 7, 2024

Repo size

655 MB

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At a glance

Access: Public
Created: Mar 7, 2024
Updated: Mar 7, 2024
SHA: fe5147bf

Base models

Model card

From the Hugging Face model README

ruadapt_solar_10.7_part2_v3_as2_rsg_lora

This model is a fine-tuned version of RefalMachine/ruadapt_solar_10.7_darulm_unigram_proj_init_part2_v3_alpha_scale_2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0744

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: 0.00025
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 30
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.1	0.45	100	0.0669
0.0837	0.9	200	0.0682
0.0511	1.35	300	0.0762
0.0473	1.8	400	0.0662
0.0188	2.24	500	0.0841
0.0268	2.69	600	0.0744

Framework versions

Transformers 4.35.0
Pytorch 2.1.2
Datasets 2.14.4
Tokenizers 0.14.1

Created: Mar 7, 2024
Updated: Mar 7, 2024