ruadapt_solar_10.7_part2_v5_as1.5_saiga_lora

RefalMachine/ruadapt_solar_10.7_part2_v5_as1.5_saiga_lora

ruadapt_solar_10.7_part2_v5_as1.5_saiga_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

1.2 GB

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Hugging Face

Repo makeup

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At a glance

Access: Public
Created: Mar 6, 2024
Updated: Mar 7, 2024
SHA: f4d6d4cd

Model card

From the Hugging Face model README

ruadapt_solar_10.7_part2_v5_as1.5_saiga_lora

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.2825

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: 0.0002
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
1.3345	0.23	100	1.3252
1.275	0.46	200	1.3096
1.2458	0.69	300	1.3013
1.2865	0.92	400	1.2965
1.2212	1.15	500	1.2919
1.238	1.38	600	1.2896
1.2248	1.61	700	1.2868
1.219	1.84	800	1.2834
1.1693	2.07	900	1.2835
1.176	2.3	1000	1.2835
1.2352	2.53	1100	1.2829
1.187	2.76	1200	1.2827
1.2239	2.99	1300	1.2825

Framework versions

Transformers 4.35.0
Pytorch 2.1.2
Datasets 2.14.4
Tokenizers 0.14.1

Created: Mar 6, 2024
Updated: Mar 7, 2024