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agrobot-ft
IbtiHt/agrobot-ft
agrobot-ft is a machine learning model from IbtiHt. 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. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jun 22, 2024
- Updated
- Jun 23, 2024
- SHA
- c45713f9
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. -->
agrobot-ft
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5122
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: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8082 | 0.99 | 102 | 0.4496 |
| 0.4347 | 2.0 | 205 | 0.4363 |
| 0.4106 | 3.0 | 308 | 0.4318 |
| 0.3875 | 4.0 | 411 | 0.4297 |
| 0.3673 | 4.99 | 513 | 0.4363 |
| 0.3404 | 6.0 | 616 | 0.4441 |
| 0.3178 | 7.0 | 719 | 0.4543 |
| 0.2975 | 8.0 | 822 | 0.4770 |
| 0.2828 | 8.99 | 924 | 0.4915 |
| 0.2664 | 9.93 | 1020 | 0.5122 |
Framework versions
- PEFT 0.11.1
- Transformers 4.39.3
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- License
- apache-2.0
- Created
- Jun 22, 2024
- Updated
- Jun 23, 2024