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ruadapt_solar_10.7_part2_v5_as1.5_rsg_lora
RefalMachine/ruadapt_solar_10.7_part2_v5_as1.5_rsg_lora
ruadapt_solar_10.7_part2_v5_as1.5_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. --
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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
- 4787f2b4
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
ruadapt_solar_10.7_part2_v5_as1.5_rsg_lora
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0702
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 |
|---|---|---|---|
| 0.0994 | 0.45 | 100 | 0.0758 |
| 0.0804 | 0.9 | 200 | 0.0760 |
| 0.0537 | 1.35 | 300 | 0.0845 |
| 0.0487 | 1.8 | 400 | 0.0574 |
| 0.0186 | 2.24 | 500 | 0.0720 |
| 0.027 | 2.69 | 600 | 0.0702 |
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