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pretrain-asd_w-cot_wo-asd_text-features
slplab/pretrain-asd_w-cot_wo-asd_text-features
pretrain-asd_w-cot_wo-asd_text-features is a machine learning model from slplab. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Access
- Public
- Created
- Aug 7, 2024
- Updated
- Aug 9, 2024
- SHA
- b71c4f7e
Base models
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. -->
pretrain-asd_w-cot_wo-asd_text-features
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2917
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: 3e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.526 | 0.1727 | 1000 | 0.3186 |
| 0.3076 | 0.3454 | 2000 | 0.3046 |
| 0.3016 | 0.5181 | 3000 | 0.3004 |
| 0.2988 | 0.6908 | 4000 | 0.3006 |
| 0.2964 | 0.8636 | 5000 | 0.2990 |
| 0.2994 | 1.0363 | 6000 | 0.2966 |
| 0.297 | 1.2090 | 7000 | 0.2961 |
| 0.2956 | 1.3817 | 8000 | 0.2953 |
| 0.2919 | 1.5544 | 9000 | 0.2947 |
| 0.2909 | 1.7271 | 10000 | 0.2939 |
| 0.2896 | 1.8998 | 11000 | 0.2939 |
| 0.2958 | 2.0725 | 12000 | 0.2928 |
| 0.2892 | 2.2453 | 13000 | 0.2934 |
| 0.2901 | 2.4180 | 14000 | 0.2926 |
| 0.2899 | 2.5907 | 15000 | 0.2922 |
| 0.2906 | 2.7634 | 16000 | 0.2918 |
| 0.2902 | 2.9361 | 17000 | 0.2917 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- Created
- Aug 7, 2024
- Updated
- Aug 9, 2024